2,420 results on '"Gelman P"'
Search Results
152. Assessing the Relative Effectiveness of Combining Self-Care with Practitioner-Delivered Complementary and Integrative Health Therapies to Improve Pain in a Pragmatic Trial.
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Zeliadt, Steven B, Coggeshall, Scott, Gelman, Hannah, Shin, Marlena H, Elwy, A Rani, Bokhour, Barbara G, and Taylor, Stephanie L
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Biomedical and Clinical Sciences ,Clinical Sciences ,Health Sciences ,Traditional ,Complementary and Integrative Medicine ,Clinical Trials and Supportive Activities ,Health Services ,Mind and Body ,Clinical Research ,Chronic Pain ,Complementary and Integrative Health ,Pain Research ,Management of diseases and conditions ,7.1 Individual care needs ,Good Health and Well Being ,Complementary Therapies ,Humans ,Pain Management ,Self Care ,Veterans ,Veterans Health ,Alternative Therapies ,Chiropractic ,Acupuncture ,Pharmacology and Pharmaceutical Sciences ,Public Health and Health Services ,Anesthesiology ,Clinical sciences ,Health services and systems ,Clinical and health psychology - Abstract
BackgroundMany health care systems are beginning to encourage patients to use complementary and integrative health (CIH) therapies for pain management. Many clinicians have anecdotally reported that patients combining self-care CIH therapies with practitioner-delivered therapies report larger health improvements than do patients using practitioner-delivered or self-care CIH therapies alone. However, we are unaware of any trials in this area.DesignThe APPROACH Study (Assessing Pain, Patient-Reported Outcomes and Complementary and Integrative Health) assesses the value of veterans participating in practitioner-delivered CIH therapies alone or self-care CIH therapies alone compared with the combination of self-care and practitioner-delivered care. The study is being conducted in 18 Veterans Health Administration sites that received funding as part of the Comprehensive Addiction and Recovery Act to expand availability of CIH therapies. Practitioner-delivered therapies under study include chiropractic care, acupuncture, and therapeutic massage, and self-care therapies include tai chi/qi gong, yoga, and meditation. The primary outcome will be improvement on the Brief Pain Inventory 6 months after initiation of CIH as compared with baseline scores. Patients will enter treatment groups on the basis of the care they receive because randomizing patients to specific CIH therapies would require withholding therapies routinely offered at VA. We will address selection bias and confounding by using sites' variations in business practices and other encouragements to receive different types of CIH therapies as a surrogate for direct randomization by using instrumental variable econometrics methods.SummaryReal-world evidence about the value of combining self-care and practitioner-delivered CIH therapies from this pragmatic trial will help guide the VA and other health care systems in offering specific nonpharmacological approaches to manage patients' chronic pain.
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- 2020
153. Cohesin and CTCF control the dynamics of chromosome folding
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Mach, Pia, Kos, Pavel I., Zhan, Yinxiu, Cramard, Julie, Gaudin, Simon, Tünnermann, Jana, Marchi, Edoardo, Eglinger, Jan, Zuin, Jessica, Kryzhanovska, Mariya, Smallwood, Sebastien, Gelman, Laurent, Roth, Gregory, Nora, Elphège P., Tiana, Guido, and Giorgetti, Luca
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- 2022
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154. Bayesian Aggregation of Average Data: An Application in Drug Development
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Weber, Sebastian, Gelman, Andrew, Lee, Daniel, Betancourt, Michael, Vehtari, Aki, and Racine-Poon, Amy
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Throughout the different phases of a drug development program, randomized trials are used to establish the tolerability, safety and efficacy of a candidate drug. At each stage one aims to optimize the design of future studies by extrapolation from the available evidence at the time. This includes collected trial data and relevant external data. However, relevant external data are typically available as averages only, for example, from trials on alternative treatments reported in the literature. Here we report on such an example from a drug development for wet age-related macular degeneration. This disease is the leading cause of severe vision loss in the elderly. While current treatment options are efficacious, they are also a substantial burden for the patient. Hence, new treatments are under development which need to be compared against existing treatments. The general statistical problem this leads to is "meta-analysis," which addresses the question of how we can combine data sets collected under different conditions. Bayesian methods have long been used to achieve partial pooling. Here we consider the challenge when the model of interest is complex (hierarchical and nonlinear) and one data set is given as raw data while the second data set is given as averages only. In such a situation, common meta-analytic methods can only be applied when the model is sufficiently simple for analytic approaches. When the model is too complex, for example, nonlinear, an analytic approach is not possible. We provide a Bayesian solution by using simulation to approximately reconstruct the likelihood of the external summary and allowing the parameters in the model to vary under the different conditions. We first evaluate our approach using fake data simulations and then report results for the drug development program that motivated this research.
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- 2018
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155. Bayesian Inference under Cluster Sampling with Probability Proportional to Size
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Makela, Susanna, Si, Yajuan, and Gelman, Andrew
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Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to cluster size, and then units are randomly sampled inside selected clusters. Challenges arise when the sizes of nonsampled cluster are unknown. We propose nonparametric and parametric Bayesian approaches for predicting the unknown cluster sizes, with this inference performed simultaneously with the model for survey outcome, with computation performed in the open-source Bayesian inference engine Stan. Simulation studies show that the integrated Bayesian approach outperforms classical methods with efficiency gains, especially under informative cluster sampling design with small number of selected clusters. We apply the method to the Fragile Families and Child Wellbeing study as an illustration of inference for complex health surveys. [This is the online version of an article published in "Statistics in Medicine."]
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- 2018
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156. Bayesian spatial modelling of localised SARS-CoV-2 transmission through mobility networks across England.
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Thomas Ward, Mitzi Morris, Andrew Gelman, Bob Carpenter, William Ferguson, Christopher Overton, and Martyn Fyles
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Biology (General) ,QH301-705.5 - Abstract
In the early phases of growth, resurgent epidemic waves of SARS-CoV-2 incidence have been characterised by localised outbreaks. Therefore, understanding the geographic dispersion of emerging variants at the start of an outbreak is key for situational public health awareness. Using telecoms data, we derived mobility networks describing the movement patterns between local authorities in England, which we have used to inform the spatial structure of a Bayesian BYM2 model. Surge testing interventions can result in spatio-temporal sampling bias, and we account for this by extending the BYM2 model to include a random effect for each timepoint in a given area. Simulated-scenario modelling and real-world analyses of each variant that became dominant in England were conducted using our BYM2 model at local authority level in England. Simulated datasets were created using a stochastic metapopulation model, with the transmission rates between different areas parameterised using telecoms mobility data. Different scenarios were constructed to reproduce real-world spatial dispersion patterns that could prove challenging to inference, and we used these scenarios to understand the performance characteristics of the BYM2 model. The model performed better than unadjusted test positivity in all the simulation-scenarios, and in particular when sample sizes were small, or data was missing for geographical areas. Through the analyses of emerging variant transmission across England, we found a reduction in the early growth phase geographic clustering of later dominant variants as England became more interconnected from early 2022 and public health interventions were reduced. We have also shown the recent increased geographic spread and dominance of variants with similar mutations in the receptor binding domain, which may be indicative of convergent evolution of SARS-CoV-2 variants.
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- 2023
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157. A systematic review of health disparities research in deep brain stimulation surgery for Parkinson’s disease
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Adeel A. Memon, Kate Gelman, Joseph Melott, Rebecca Billings, Michelle Fullard, Corina Catiul, Svjetlana Miocinovic, and Amy W. Amara
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deep brain stimulation ,Parkinson’s disease ,health disparities ,racial disparities ,gender disparities ,socioeconomic disparities ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
BackgroundDeep brain stimulation (DBS) is the primary surgical intervention for Parkinson’s disease (PD) patients with insufficient response to medication, significantly improving motor symptoms and quality of life. Despite FDA approval for over two decades, access to this therapy remains limited. This systematic review aims to evaluate the influence of gender, race/ethnicity, socioeconomic status, and age on health disparities associated with DBS for PD, providing an overview of current research in this field.MethodsA systematic literature search was conducted in PubMed/MEDLINE, Embase, Web of Science and Cochrane databases from 1960 to September 12th, 2023, following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Studies that examine the disparities in accessing DBS among patients with PD were included, comparing different demographic factors. Findings were synthesized and presented narratively to identify and understand DBS disparities.ResultsAfter screening for relevance, 25 studies published between 1960 and 2023 were included, with 16 studies meeting full-text review criteria. While reviewing the references of the 16 articles, two additional studies were included, bringing the total number of included studies to 18. Most studies originated from the United States (44%). The identified studies were categorized as identifying disparities, understanding disparities, or reducing disparities. The majority focused on identifying disparities (72%), while fewer studies delved into understanding the underlying factors (28%). No studies evaluated strategies for reducing disparities. The findings indicate that elderly, female, and Black people, as well as those from low socioeconomic backgrounds and developing countries face greater obstacles in accessing DBS for PD.ConclusionThis study highlights factors contributing to disparities in DBS utilization for PD, including race, gender, and socioeconomic status. Public health policymakers, practitioners, and clinicians should recognize these inequalities and work toward reducing disparities, particularly among vulnerable populations.
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- 2023
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158. A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
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Michael Mallin, Jane Hall, Maria Herlihy, Eduard J. Gelman, and Michael B. Stone
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precision medicine ,genomics ,health coaching ,chronic disease ,diabetes ,cardiovascular disease ,Medicine (General) ,R5-920 - Abstract
Precision lifestyle medicine is a relatively new field in primary care, based on the hypothesis that genetic predispositions influence an individual’s response to specific interventions such as diet, exercise, and prescription medications. Despite the increase in commercially available genomic testing, few studies have investigated effects of a physician-directed program to optimize chronic disease using genomics-based precision medicine. We performed an pilot, observational cohort study to evaluate effects of the Wild Health program, a physician and health coach service offering genomics-based lifestyle and medical interventions, on biomarkers indicative of chronic disease. 871 patients underwent genomic testing, biomarker testing, and ongoing health coaching after initial medical consultation by a physician. Improvements in several clinically relevant out-of-range biomarkers at baseline were identified in a large proportion of patients treated through lifestyle intervention without the use of prescription medication. Notably, normalization of several biomarkers associated with chronic disease occurred in 47.5% (hemoglobin A1c [HbA1c]), 33.3% (low density lipoprotein particle number [LDL-P]), and 33.2% (C-reactive protein [CRP]). However, due to the inherent limitations of our observational study design and use of retrospective data, ongoing work will be crucial for continuing to shed light on the effectiveness of physician-led, genomics-based lifestyle coaching programs. Future studies would benefit from implementing a randomized controlled study design, tracking specific interventions, and evaluating physiological data, such as BMI.
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- 2023
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159. Improving multilevel regression and poststratification with structured priors
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Gao, Yuxiang, Kennedy, Lauren, Simpson, Daniel, and Gelman, Andrew
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Statistics - Methodology - Abstract
A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population. Multilevel Regression and Poststratification (MRP), a model-based approach, is gaining traction against the traditional weighted approach for survey estimates. MRP estimates are susceptible to bias if there is an underlying structure that the methodology does not capture. This work aims to provide a new framework for specifying structured prior distributions that lead to bias reduction in MRP estimates. We use simulation studies to explore the benefit of these prior distributions and demonstrate their efficacy on non-representative US survey data. We show that structured prior distributions offer absolute bias reduction and variance reduction for posterior MRP estimates in a large variety of data regimes., Comment: Minor revision. Added plots showing share of simulations where structured priors outperformed baseline priors in MRP
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- 2019
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160. Logical Segmentation of Source Code
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Dormuth, Jacob, Gelman, Ben, Moore, Jessica, and Slater, David
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Computer Science - Software Engineering ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Many software analysis methods have come to rely on machine learning approaches. Code segmentation - the process of decomposing source code into meaningful blocks - can augment these methods by featurizing code, reducing noise, and limiting the problem space. Traditionally, code segmentation has been done using syntactic cues; current approaches do not intentionally capture logical content. We develop a novel deep learning approach to generate logical code segments regardless of the language or syntactic correctness of the code. Due to the lack of logically segmented source code, we introduce a unique data set construction technique to approximate ground truth for logically segmented code. Logical code segmentation can improve tasks such as automatically commenting code, detecting software vulnerabilities, repairing bugs, labeling code functionality, and synthesizing new code., Comment: SEKE2019 Conference Full Paper
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- 2019
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161. Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample
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Kennedy, Lauren and Gelman, Andrew
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Statistics - Applications - Abstract
Psychology research focuses on interactions, and this has deep implications for inference from non-representative samples. For the goal of estimating average treatment effects, we propose to fit a model allowing treatment to interact with background variables and then average over the distribution of these variables in the population. This can be seen as an extension of multilevel regression and poststratification (MRP), a method used in political science and other areas of survey research, where researchers wish to generalize from a sparse and possibly non-representative sample to the general population. In this paper, we discuss areas where this method can be used in the psychological sciences. We use our method to estimate the norming distribution for the Big Five Personality Scale using open source data. We argue that large open data sources like this and other collaborative data sources can be combined with MRP to help resolve current challenges of generalizability and replication in psychology.
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- 2019
162. The Political Significance of Social Penumbras
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Gelman, Andrew and Margalit, Yotam
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Statistics - Applications - Abstract
To explain the political clout of different social groups, traditional accounts typically focus on the group's size, resources, or commonality and intensity of its members' interests. We contend that a group's "penumbra"-the set of individuals who are personally familiar with people in that group--is another important explanatory factor that merits systematic analysis. To this end, we designed a panel study that allows us to learn about the characteristics of the penumbras of politically relevant groups such as gay people, the unemployed or recent immigrants. Our study reveals major and systematic differences in the penumbras of various social groups, even ones of similar size. Moreover, we find evidence that entering a group's penumbra is associated with a change in attitude on related political questions. Taken together, our findings suggest that penumbras help account for variation in the political standing of different groups in society., Comment: 28 pages
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- 2019
163. A Language-Agnostic Model for Semantic Source Code Labeling
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Gelman, Ben, Hoyle, Bryan, Moore, Jessica, Saxe, Joshua, and Slater, David
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Computer Science - Machine Learning ,Computer Science - Computation and Language ,Computer Science - Software Engineering ,Statistics - Machine Learning - Abstract
Code search and comprehension have become more difficult in recent years due to the rapid expansion of available source code. Current tools lack a way to label arbitrary code at scale while maintaining up-to-date representations of new programming languages, libraries, and functionalities. Comprehensive labeling of source code enables users to search for documents of interest and obtain a high-level understanding of their contents. We use Stack Overflow code snippets and their tags to train a language-agnostic, deep convolutional neural network to automatically predict semantic labels for source code documents. On Stack Overflow code snippets, we demonstrate a mean area under ROC of 0.957 over a long-tailed list of 4,508 tags. We also manually validate the model outputs on a diverse set of unlabeled source code documents retrieved from Github, and we obtain a top-1 accuracy of 86.6%. This strongly indicates that the model successfully transfers its knowledge from Stack Overflow snippets to arbitrary source code documents., Comment: MASES 2018 Publication
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- 2019
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164. The experiment is just as important as the likelihood in understanding the prior: A cautionary note on robust cognitive modelling
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Kennedy, Lauren, Simpson, Daniel, and Gelman, Andrew
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Statistics - Applications - Abstract
Cognitive modelling shares many features with statistical modelling, making it seem trivial to borrow from the practices of robust Bayesian statistics to protect the practice of robust cognitive modelling. We take one aspect of statistical workflow-prior predictive checks-and explore how they might be applied to a cognitive modelling task. We find that it is not only the likelihood that is needed to interpret the priors, we also need to incorporate experiment information as well. This suggests that while cognitive modelling might borrow from statistical practices, especially workflow, care must be made to make the adaptions necessary.
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- 2019
165. Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
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Gelman, Andrew and Vákár, Matthijs
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Statistics - Methodology ,Statistics - Applications - Abstract
It is not always clear how to adjust for control data in causal inference, balancing the goals of reducing bias and variance. We show how, in a setting with repeated experiments, Bayesian hierarchical modeling yields an adaptive procedure that uses the data to determine how much adjustment to perform. The result is a novel analysis with increased statistical efficiency compared to the default analysis based on difference estimates. We demonstrate this procedure on two real examples, as well as on a series of simulated datasets. We show that the increased efficiency can have real-world consequences in terms of the conclusions that can be drawn from the experiments. We also discuss the relevance of this work to causal inference and statistical design and analysis more generally., Comment: 20 pages; to appear in Statistics in Medicine
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- 2019
166. Many perspectives on Deborah Mayo's 'Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars'
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Gelman, Andrew, Haig, Brian, Hennig, Christian, Owen, Art, Cousins, Robert, Young, Stan, Robert, Christian, Yanofsky, Corey, Wagenmakers, E. J., Kenett, Ron, and Lakeland, Daniel
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Statistics - Other Statistics - Abstract
The new book by philosopher Deborah Mayo is relevant to data science for topical reasons, as she takes various controversial positions regarding hypothesis testing and statistical practice, and also as an entry point to thinking about the philosophy of statistics. The present article is a slightly expanded version of a series of informal reviews and comments on Mayo's book. We hope this discussion will introduce people to Mayo's ideas along with other perspectives on the topics she addresses., Comment: 23 pages
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- 2019
167. Yields of weakly-bound light nuclei as a probe of the statistical hadronization model
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Cai, Yiming, Cohen, Thomas D., Gelman, Boris A., and Yamauchi, Yukari
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Nuclear Theory ,High Energy Physics - Experiment ,High Energy Physics - Phenomenology ,Nuclear Experiment - Abstract
The statistical hadronization model is a simple and efficient phenomenological framework in which the relative yields for very high energy heavy ion collisions are essentially determined by a single model parameter---the chemical freeze-out temperature. Recent measurements of yields of hadrons and light nuclei covering over 9 orders of magnitudes from the ALICE collaboration at the LHC were described by the model with remarkable accuracy with a chemical freeze-out temperature of 156.5 $\pm$ 1.5 MeV. A key physical question is whether the freeze-out temperature can be understood, literally, as the temperature at which the various species of an equilibrated gas of hadrons (including resonances) and nuclei chemically freeze out as the model assumes, or whether it successfully parametrizes the yield data for a different reason. The yields of weakly-bound light nuclei---the deuteron and the hypertriton---provide insights into this issue. The analysis indicates that a key assumption underlying the model---that hadrons (and nuclei), just prior to chemical freeze-out temperature, are in thermal equilibrium and are sufficiently dilute as to have particle distributions accurately described statistically by a nearly ideal gas of hadrons and nuclei with masses given by their free space values---appears to be inconsistent with the chemical freeze-out temperature output by the model, at least for these weakly-bound nuclei.
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- 2019
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168. A Convolutional Neural Network for Language-Agnostic Source Code Summarization
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Moore, Jessica, Gelman, Ben, and Slater, David
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Computer Science - Computation and Language ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Descriptive comments play a crucial role in the software engineering process. They decrease development time, enable better bug detection, and facilitate the reuse of previously written code. However, comments are commonly the last of a software developer's priorities and are thus either insufficient or missing entirely. Automatic source code summarization may therefore have the ability to significantly improve the software development process. We introduce a novel encoder-decoder model that summarizes source code, effectively writing a comment to describe the code's functionality. We make two primary innovations beyond current source code summarization models. First, our encoder is fully language-agnostic and requires no complex input preprocessing. Second, our decoder has an open vocabulary, enabling it to predict any word, even ones not seen in training. We demonstrate results comparable to state-of-the-art methods on a single-language data set and provide the first results on a data set consisting of multiple programming languages., Comment: ENASE 2019
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- 2019
169. Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC
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Vehtari, Aki, Gelman, Andrew, Simpson, Daniel, Carpenter, Bob, and Bürkner, Paul-Christian
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Statistics - Computation ,Statistics - Methodology - Abstract
Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm. In this paper we show that the convergence diagnostic $\widehat{R}$ of Gelman and Rubin (1992) has serious flaws. Traditional $\widehat{R}$ will fail to correctly diagnose convergence failures when the chain has a heavy tail or when the variance varies across the chains. In this paper we propose an alternative rank-based diagnostic that fixes these problems. We also introduce a collection of quantile-based local efficiency measures, along with a practical approach for computing Monte Carlo error estimates for quantiles. We suggest that common trace plots should be replaced with rank plots from multiple chains. Finally, we give recommendations for how these methods should be used in practice., Comment: Two small fixes. Published in Bayesian analysis https://doi.org/10.1214/20-BA1221
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- 2019
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170. Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography
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Gelman, Rony
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Deep learning has been successfully applied to a variety of image classification tasks. There has been keen interest to apply deep learning in the medical domain, particularly specialties that heavily utilize imaging, such as ophthalmology. One issue that may hinder application of deep learning to the medical domain is the vast amount of data necessary to train deep neural networks (DNNs). Because of regulatory and privacy issues associated with medicine, and the generally proprietary nature of data in medical domains, obtaining large datasets to train DNNs is a challenge, particularly in the ophthalmology domain. Transfer learning is a technique developed to address the issue of applying DNNs for domains with limited data. Prior reports on transfer learning have examined custom networks to fully train or used a particular DNN for transfer learning. However, to the best of my knowledge, no work has systematically examined a suite of DNNs for transfer learning for classification of diabetic retinopathy, diabetic macular edema, and two key features of age-related macular degeneration. This work attempts to investigate transfer learning for classification of these ophthalmic conditions. Part I gives a condensed overview of neural networks and the DNNs under evaluation. Part II gives the reader the necessary background concerning diabetic retinopathy and prior work on classification using retinal fundus photographs. The methodology and results of transfer learning for diabetic retinopathy classification are presented, showing that transfer learning towards this domain is feasible, with promising accuracy. Part III gives an overview of diabetic macular edema, choroidal neovascularization and drusen (features associated with age-related macular degeneration), and presents results for transfer learning evaluation using optical coherence tomography to classify these entities.
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- 2019
171. Lipocalin-2 mediates HIV-1 induced neuronal injury and behavioral deficits by overriding CCR5-dependent protection
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Ojeda-Juárez, Daniel, Shah, Rohan, Fields, Jerel Adam, Harahap-Carrillo, Indira S, Koury, Jeffrey, Maung, Ricky, Gelman, Benjamin B, Baaten, Bas J, Roberts, Amanda J, and Kaul, Marcus
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Medical Microbiology ,Biomedical and Clinical Sciences ,Immunology ,Neurosciences ,Acquired Cognitive Impairment ,Brain Disorders ,Neurodegenerative ,Genetics ,Infectious Diseases ,Sexually Transmitted Infections ,HIV/AIDS ,2.1 Biological and endogenous factors ,Neurological ,Infection ,Acute-Phase Proteins ,Animals ,HIV Infections ,HIV-1 ,Humans ,Lipocalin-2 ,Mice ,Neurons ,Receptors ,CCR5 ,CCR5 ,Knockout ,p38 MAPK ,HIV gp120-transgenic ,HIV-associated neurocognitive disorders ,Neurodegeneration ,Behavior ,HIV neuropathology ,Sexual dimorphism ,Psychology ,Neurology & Neurosurgery ,Biological psychology - Abstract
People living with HIV (PLWH) continue to develop HIV-associated neurocognitive disorders despite combination anti-retroviral therapy. Lipocalin-2 (LCN2) is an acute phase protein that has been implicated in neurodegeneration and is upregulated in a transgenic mouse model of HIV-associated brain injury. Here we show that LCN2 is significantly upregulated in neocortex of a subset of HIV-infected individuals with brain pathology and correlates with viral load in CSF and pro-viral DNA in neocortex. However, the question if LCN2 contributes to HIV-associated neurotoxicity or is part of a protective host response required further investigation. We found that the knockout of LCN2 in transgenic mice expressing HIVgp120 in the brain (HIVgp120tg) abrogates behavioral impairment, ameliorates neuronal damage, and reduces microglial activation in association with an increase of the neuroprotective CCR5 ligand CCL4. In vitro experiments show that LCN2 neurotoxicity also depends on microglia and p38 MAPK activity. Genetic ablation of CCR5 in LCN2-deficient HIVgp120tg mice restores neuropathology, suggesting that LCN2 overrides neuroprotection mediated by CCR5 and its chemokine ligands. RNA expression of 168 genes involved in neurotransmission reveals that neuronal injury and protection are each associated with genotype- and sex-specific patterns affecting common neural gene networks. In conclusion, our study identifies LCN2 as a novel factor in HIV-associated brain injury involving CCR5, p38 MAPK and microglia. Furthermore, the mechanistic interaction between LCN2 and CCR5 may serve as a diagnostic and therapeutic target in HIV patients at risk of developing brain pathology and neurocognitive impairment.
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- 2020
172. Characteristics of Motor Dysfunction in Longstanding Human Immunodeficiency Virus
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Robinson-Papp, Jessica, Gensler, Gary, Navis, Allison, Sherman, Seth, Ellis, Ronald J, Gelman, Benjamin B, Kolson, Dennis L, Letendre, Scott L, Singer, Elyse J, Valdes-Sueiras, Miguel, and Morgello, Susan
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Medical Microbiology ,Biomedical and Clinical Sciences ,Neurosciences ,Infectious Diseases ,Mental Health ,Clinical Research ,HIV/AIDS ,Brain Disorders ,Neurodegenerative ,Pediatric ,Acquired Cognitive Impairment ,Neurological ,AIDS Dementia Complex ,HIV ,HIV Infections ,Humans ,Longitudinal Studies ,Quality of Life ,neurocognitive disorders ,cerebrovascular disease ,motor dysfunction ,Biological Sciences ,Medical and Health Sciences ,Microbiology ,Clinical sciences - Abstract
BackgroundCognitive dysfunction in human immunodeficiency virus (HIV) has decreased, but milder forms of HIV-associated neurocognitive disorders (HAND) persist along with motor dysfunction. The HIV Motor Scale (HMS) is a validated tool that captures motor abnormalities on routine neurologic examination and which is associated with cognitive impairment in HIV. In this study, we applied a modified HMS (MHMS) to a nationwide cohort of people with longstanding HIV to characterize and understand the factors contributing to motor dysfunction.MethodsThe National NeuroAIDS Tissue Consortium is a nationwide longitudinal cohort study. Participants undergo regular assessments including neurological examination, neuropsychological testing, and immunovirologic data collection. Data from examinations were used to calculate the MHMS score, which was then correlated with history of AIDS-related central nervous system (CNS) disorders (ARCD; eg, prior CNS opportunistic infection), cerebrovascular disease (CVD), and HAND.ResultsSixty-nine percent of participants showed an abnormality on the MHMS, with 27% classified as severe. Results did not vary based on demographic or immunologic variables. The most common abnormalities seen were gait (54%), followed by coordination (39%) and strength (25%), and these commonly co-occurred. CVD (P = .02), history of ARCD (P = .001), and HAND (P = .001) were all associated with higher (ie, worse) HMS in univariate analyses; CVD and ARCD persisted in multivariate analyses. CVD was also marginally associated with symptomatic HAND.ConclusionsComplex motor dysfunction remains common in HIV and is associated with CVD, ARCD, and to a lesser extent, HAND. Future studies are needed to understand the longitudinal trajectory of HIV-associated motor dysfunction, its neural substrates, and impact on quality of life.
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- 2020
173. Does Offering Battlefield Acupuncture Lead to Subsequent Use of Traditional Acupuncture?
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Thomas, Eva R, Zeliadt, Steven B, Coggeshall, Scott, Gelman, Hannah, Resnick, Adam, Giannitrapani, Karleen, Olson, Juli, Kligler, Benjamin, and Taylor, Stephanie L
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Clinical Research ,Chronic Pain ,Pain Research ,Complementary and Integrative Health ,Management of diseases and conditions ,8.1 Organisation and delivery of services ,7.1 Individual care needs ,Health and social care services research ,Good Health and Well Being ,Acupuncture Therapy ,Acupuncture ,Ear ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Comorbidity ,Female ,Health Status ,Humans ,Male ,Mental Health ,Middle Aged ,Pain Management ,Propensity Score ,Regression Analysis ,Socioeconomic Factors ,United States ,United States Department of Veterans Affairs ,Veterans ,Veterans Health ,Young Adult ,complementary and integrative health ,acupuncture therapy ,auricular acupuncture ,nonpharmacologic ,Public Health and Health Services ,Applied Economics ,Health Policy & Services - Abstract
ObjectivesVeterans Health Administration encourages auricular acupuncture (Battlefield Acupuncture/BFA) as a nonpharmacologic approach to pain management. Qualitative reports highlighted a "gateway hypothesis": providing BFA can lead to additional nonpharmacologic treatments. This analysis examines subsequent use of traditional acupuncture.Research designCohort study of Veterans treated with BFA and a propensity score matched comparison group with a 3-month follow-up period to identify subsequent use of traditional acupuncture. Matching variables included pain, comorbidity, and demographics, with further adjustment in multivariate regression analysis.SubjectsWe identified 41,234 patients who used BFA across 130 Veterans Health Administration medical facilities between October 1, 2016 and March 31, 2019. These patients were matched 2:1 on Veterans who used VA care but not BFA during the same period resulting in a population of 24,037 BFA users and a comparison cohort of 40,358 non-BFA users. Patients with prior use of traditional acupuncture were excluded.ResultsAmong Veterans receiving BFA, 9.5% subsequently used traditional acupuncture compared with 0.9% of non-BFA users (P
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- 2020
174. Higher levels of plasma inflammation biomarkers are associated with depressed mood and quality of life in aging, virally suppressed men, but not women, with HIV.
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Ellis, Ronald J, Letendre, Scott L, Atkinson, J Hampton, Clifford, David, Collier, Ann C, Gelman, Benjamin B, Marra, Christina, McCutchan, J Allen, Morgello, Susan, Sacktor, Ned, Tang, Bin, and Heaton, Robert K
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Depression ,HIV infection ,Inflammation ,Quality of life ,Sex differences ,Mental Health ,Clinical Research ,6.1 Pharmaceuticals ,Inflammatory and immune system - Abstract
Background and objectivesPeople with HIV (PWH) often suffer from depressive symptoms which have a deleterious impact on numerous domains including antiretroviral adherence and quality of life. In the general population, a treatment-resistant phenotype of depression is associated with systemic inflammation, which is of considerable importance as it responds favorably to anti-inflammatory medications. Aging PWH experience increasing inflammation. We sought to evaluate the impact of chronic inflammation in aging PWH on depressed mood.MethodsPWH were recruited at 6 U.S. academic medical centers. Depressed mood was assessed using the Beck Depression Inventory (BDI)-II. Inflammatory biomarkers measured at the 12-year follow-up visit in blood plasma using immunoassays were neopterin, sTNFRII, d-dimer, IL-6, CRP, MCP-1, sCD14 and sCD40L. Factor analyses with oblique Equamax rotation were employed to reduce the dimensionality of the biomarkers.ResultsParticipants were 78 PWH, 14 (17.9%) women, 40 (51.3%) non-White, mean age 55.3 (±SD 8.29), with a nadir and current CD4 of 134 (IQR 36, 204) and 567 (316, 797), respectively. 80.5% were virally suppressed. A factor analysis of the eight inflammatory biomarkers in plasma at the 12-year follow-up visit yielded 3 Factors, with Factor 1 loading on neopterin and sTNFRII, Factor 2 loading on d-dimer, IL-6 and CRP, and Factor 3 loading on sCD40L (MCP-1 and sCD14 did not appear in any of the factors). Univariate regressions of each factor vs BDI-II scores yielded significance only for Factor 2 (r = 0.295; p = 0.0083 (Bonferroni-adjusted p = 0.0261). Of the Factor 2 component biomarkers, BDI-II scores correlated significantly with d-dimer and IL-6, but not CRP. Women had worse BDI-II scores (p = 0.0127). In a logistic regression with sex and Factor 2, both variables were significant (sex p = 0.0246, Factor 2 p = 0.0168). The relationship between Factor 2 and BDI was significant for men (r = 0.348 [95% CI 0.111, 0.547]; p = 0.0049), but not women (r = 0.0580 95% CI -0.488, 0.571]; p = 0.844). Viral suppression was not significant in the multivariate model.ConclusionsSome PWH with depressed mood have elevated markers of inflammation in blood. Men showed this relationship, while women did not. Together with previous findings that an inflammatory depression phenotype responds to treatment with anti-inflammatory medications, our findings suggest that treatment with anti-inflammatory medications might benefit at least a subset of depressed PWH who have a high inflammatory biomarker profile, as well as poor response to antidepressant medications alone, and that the pathophysiology of depression in men and women with HIV may differ.
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- 2020
175. Predictors of worsening neuropathy and neuropathic pain after 12 years in people with HIV
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Ellis, Ronald J, Diaz, Monica, Sacktor, Ned, Marra, Christina, Collier, Ann C, Clifford, David B, Calcutt, Nigel, Fields, Jerel A, Heaton, Robert K, Letendre, Scott L, Franklin, Donald, Best, Brookie, Cookson, Debra, Cushman, Clint, Dawson, Matthew, Notestine, Christine Fennema, Weibel, Sara Gianella, Grant, Igor, Marcotte, Thomas D, Marquie‐Beck, Jennifer, Vaida, Florin, Rogalski, Vincent, Morgello, Susan, Mintz, Letty, McCutchan, J Allen, Storey, Sher, Gelman, Benjamin, Head, Eleanor, and Teshome, Mengesha
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,Peripheral Neuropathy ,Prevention ,Neurodegenerative ,HIV/AIDS ,Chronic Pain ,Pain Research ,Neurosciences ,Neurological ,Activities of Daily Living ,Adult ,Body Mass Index ,Female ,Follow-Up Studies ,HIV Infections ,Humans ,Incidence ,Male ,Middle Aged ,Neuralgia ,Polyneuropathies ,Prevalence ,Protective Factors ,Quality of Life ,Risk Factors ,Severity of Illness Index ,Unemployment ,CNS Antiretroviral Therapy Effects Research (CHARTER) Study Group ,Clinical and health psychology - Abstract
ObjectiveDistal sensory polyneuropathy (DSP) and neuropathic pain are important clinical concerns in virally suppressed people with HIV. We determined how these conditions evolved, what factors influenced their evolution, and their clinical impact.MethodsAmbulatory, community-dwelling HIV seropositive individuals were recruited at six research centers. Clinical evaluations at baseline and 12 years later determined neuropathy signs and distal neuropathic pain (DNP). Additional assessments measured activities of daily living and quality of life (QOL). Factors potentially associated with DSP and DNP progression included disease severity, treatment, demographics, and co-morbidities. Adjusted odds ratios were calculated for follow-up neuropathy outcomes.ResultsOf 254 participants, 21.3% were women, 57.5% were non-white. Mean baseline age was 43.5 years. Polyneuropathy prevalence increased from 25.7% to 43.7%. Of 173 participants initially pain-free, 42 (24.3%) had incident neuropathic pain. Baseline risk factors for incident pain included unemployment (OR [95% CI], 5.86 [1.97, 17.4]) and higher baseline body mass index (BMI) (1.78 [1.03, 3.19] per 10-units). Participants with neuropathic pain at follow-up had significantly worse QOL and greater dependence in activities of daily living than those who remained pain-free.InterpretationHIV DSP and neuropathic pain increased in prevalence and severity over 12 years despite high rates of viral suppression. The high burden of neuropathy included disability and poor life quality. However, substantial numbers remained pain-free despite clear evidence of neuropathy on exam. Protective factors included being employed and having a lower BMI. Implications for clinical practice include promotion of lifestyle changes affecting reversible risk factors.
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- 2020
176. Discussion points for Bayesian inference
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Aczel, Balazs, Hoekstra, Rink, Gelman, Andrew, Wagenmakers, Eric-Jan, Klugkist, Irene G, Rouder, Jeffrey N, Vandekerckhove, Joachim, Lee, Michael D, Morey, Richard D, Vanpaemel, Wolf, Dienes, Zoltan, and van Ravenzwaaij, Don
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Bayes Theorem ,Behavioral Sciences ,Data Interpretation ,Statistical ,Humans ,Social Sciences - Published
- 2020
177. Heme oxygenase-1 promoter (GT)n polymorphism associates with HIV neurocognitive impairment
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Garza, Rolando, Gill, Alexander J, Bastien, Brandon L, Garcia-Mesa, Yoelvis, Gruenewald, Analise L, Gelman, Benjamin B, Tsima, Billy, Gross, Robert, Letendre, Scott L, and Kolson, Dennis L
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Biomedical and Clinical Sciences ,Neurosciences ,HIV/AIDS ,Infectious Diseases ,Clinical Trials and Supportive Activities ,Clinical Research ,Behavioral and Social Science ,Prevention ,Genetics ,Adult ,Black or African American ,Cross-Sectional Studies ,Dinucleotide Repeats ,Female ,Genotype ,HIV Infections ,Heme Oxygenase-1 ,Humans ,Male ,Middle Aged ,Neurocognitive Disorders ,Polymorphism ,Genetic ,Promoter Regions ,Genetic ,Protective Factors ,White People - Abstract
ObjectiveTo determine whether regulatory variations in the heme oxygenase-1 (HO-1) promoter (GT) n dinucleotide repeat length could identify unique population genetic risks for neurocognitive impairment (NCI) in persons living with HIV (PLWH), we genotyped 528 neurocognitively assessed PLWH of European American and African American descent and linked genotypes to cognitive status.MethodsIn this cross-sectional study of PLWH (the CNS HIV Antiretroviral Therapy Effect Research cohort), we determined HO-1 (GT) n repeat lengths in 276 African Americans and 252 European Americans. Using validated criteria for HIV-associated NCI (HIV NCI), we found associations between allele length genotypes and HIV NCI and between genotypes and plasma markers of monocyte activation and inflammation. For comparison of HO-1 (GT) n allele frequencies with another population of African ancestry, we determined HO-1 (GT) n allele lengths in African PLWH from Botswana (n = 428).ResultsPLWH with short HO-1 (GT) n alleles had a lower risk for HIV NCI (OR = 0.63, 95% CI: 0.42-0.94). People of African ancestry had a lower prevalence of short alleles and higher prevalence of long alleles compared with European Americans, and in subgroup analyses, the protective effect of the short allele was observed in African Americans and not in European Americans.ConclusionsOur study identified the short HO-1 (GT) n allele as partially protective against developing HIV NCI. It further suggests that this clinical protective effect is particularly relevant in persons of African ancestry, where the lower prevalence of short HO-1 (GT) n alleles may limit induction of HO-1 expression in response to inflammation and oxidative stress. Therapeutic strategies that enhance HO-1 expression may decrease HIV-associated neuroinflammation and limit HIV NCI.
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- 2020
178. Use of Neuroimaging to Inform Optimal Neurocognitive Criteria for Detecting HIV-Associated Brain Abnormalities
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Campbell, Laura M, Fennema-Notestine, Christine, Saloner, Rowan, Hussain, Mariam, Chen, Anna, Franklin, Donald, Umlauf, Anya, Ellis, Ronald J, Collier, Ann C, Marra, Christina M, Clifford, David B, Gelman, Benjamin B, Sacktor, Ned, Morgello, Susan, McCutchan, J Allen, Letendre, Scott, Grant, Igor, and Heaton, Robert K
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Biomedical and Clinical Sciences ,Clinical Sciences ,Psychology ,Basic Behavioral and Social Science ,Infectious Diseases ,Behavioral and Social Science ,Brain Disorders ,Acquired Cognitive Impairment ,HIV/AIDS ,Biomedical Imaging ,Sexually Transmitted Infections ,Mental Health ,Substance Misuse ,Neurosciences ,Neurodegenerative ,Mental health ,Good Health and Well Being ,Activities of Daily Living ,Adult ,Cerebral Cortex ,Cross-Sectional Studies ,Female ,HIV Infections ,Humans ,Inflammation ,Magnetic Resonance Imaging ,Magnetic Resonance Spectroscopy ,Male ,Middle Aged ,Neurocognitive Disorders ,Neuroimaging ,Practice Guidelines as Topic ,Magnetic resonance imaging ,Magnetic resonance spectroscopy ,Cognition ,Infectious disease ,HIV-associated neurocognitive disorders ,Frascati criteria ,CHARTER Group ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Experimental Psychology ,Biomedical and clinical sciences ,Health sciences - Abstract
ObjectiveFrascati international research criteria for HIV-associated neurocognitive disorders (HAND) are controversial; some investigators have argued that Frascati criteria are too liberal, resulting in a high false positive rate. Meyer et al. recommended more conservative revisions to HAND criteria, including exploring other commonly used methodologies for neurocognitive impairment (NCI) in HIV including the global deficit score (GDS). This study compares NCI classifications by Frascati, Meyer, and GDS methods, in relation to neuroimaging markers of brain integrity in HIV.MethodTwo hundred forty-one people living with HIV (PLWH) without current substance use disorder or severe (confounding) comorbid conditions underwent comprehensive neurocognitive testing and brain structural magnetic resonance imaging and magnetic resonance spectroscopy. Participants were classified using Frascati criteria versus Meyer criteria: concordant unimpaired [Frascati(Un)/Meyer(Un)], concordant impaired [Frascati(Imp)/Meyer(Imp)], or discordant [Frascati(Imp)/Meyer(Un)] which were impaired via Frascati criteria but unimpaired via Meyer criteria. To investigate the GDS versus Meyer criteria, the same groupings were utilized using GDS criteria instead of Frascati criteria.ResultsWhen examining Frascati versus Meyer criteria, discordant Frascati(Imp)/Meyer(Un) individuals had less cortical gray matter, greater sulcal cerebrospinal fluid volume, and greater evidence of neuroinflammation (i.e., choline) than concordant Frascati(Un)/Meyer(Un) individuals. GDS versus Meyer comparisons indicated that discordant GDS(Imp)/Meyer(Un) individuals had less cortical gray matter and lower levels of energy metabolism (i.e., creatine) than concordant GDS(Un)/Meyer(Un) individuals. In both sets of analyses, the discordant group did not differ from the concordant impaired group on any neuroimaging measure.ConclusionsThe Meyer criteria failed to capture a substantial portion of PLWH with brain abnormalities. These findings support continued use of Frascati or GDS criteria to detect HIV-associated CNS dysfunction.
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- 2020
179. Perfect timing: circadian rhythms, sleep, and immunity — an NIH workshop summary
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Haspel, Jeffrey A, Anafi, Ron, Brown, Marishka K, Cermakian, Nicolas, Depner, Christopher, Desplats, Paula, Gelman, Andrew E, Haack, Monika, Jelic, Sanja, Kim, Brian S, Laposky, Aaron D, Lee, Yvonne C, Mongodin, Emmanuel, Prather, Aric A, Prendergast, Brian, Reardon, Colin, Shaw, Albert C, Sengupta, Shaon, Szentirmai, Éva, Thakkar, Mahesh, Walker, Wendy E, and Solt, Laura A
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Biomedical and Clinical Sciences ,Immunology ,Sleep Research ,Neurosciences ,Underpinning research ,1.1 Normal biological development and functioning ,Inflammatory and immune system ,Animals ,Cell Differentiation ,Circadian Rhythm ,Education ,Humans ,Immune System ,Immunity ,Microbiota ,National Institutes of Health (U.S.) ,Sleep ,T-Lymphocytes ,United States ,Biomedical and clinical sciences ,Health sciences - Abstract
Recent discoveries demonstrate a critical role for circadian rhythms and sleep in immune system homeostasis. Both innate and adaptive immune responses - ranging from leukocyte mobilization, trafficking, and chemotaxis to cytokine release and T cell differentiation -are mediated in a time of day-dependent manner. The National Institutes of Health (NIH) recently sponsored an interdisciplinary workshop, "Sleep Insufficiency, Circadian Misalignment, and the Immune Response," to highlight new research linking sleep and circadian biology to immune function and to identify areas of high translational potential. This Review summarizes topics discussed and highlights immediate opportunities for delineating clinically relevant connections among biological rhythms, sleep, and immune regulation.
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- 2020
180. Author Correction: A consensus-based transparency checklist.
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Aczel, Balazs, Szaszi, Barnabas, Sarafoglou, Alexandra, Kekecs, Zoltan, Kucharský, Šimon, Benjamin, Daniel, Chambers, Christopher D, Fisher, Agneta, Gelman, Andrew, Gernsbacher, Morton A, Ioannidis, John P, Johnson, Eric, Jonas, Kai, Kousta, Stavroula, Lilienfeld, Scott O, Lindsay, D Stephen, Morey, Candice C, Munafò, Marcus, Newell, Benjamin R, Pashler, Harold, Shanks, David R, Simons, Daniel J, Wicherts, Jelte M, Albarracin, Dolores, Anderson, Nicole D, Antonakis, John, Arkes, Hal R, Back, Mitja D, Banks, George C, Beevers, Christopher, Bennett, Andrew A, Bleidorn, Wiebke, Boyer, Ty W, Cacciari, Cristina, Carter, Alice S, Cesario, Joseph, Clifton, Charles, Conroy, Ronán M, Cortese, Mike, Cosci, Fiammetta, Cowan, Nelson, Crawford, Jarret, Crone, Eveline A, Curtin, John, Engle, Randall, Farrell, Simon, Fearon, Pasco, Fichman, Mark, Frankenhuis, Willem, Freund, Alexandra M, Gaskell, M Gareth, Giner-Sorolla, Roger, Green, Don P, Greene, Robert L, Harlow, Lisa L, de la Guardia, Fernando Hoces, Isaacowitz, Derek, Kolodner, Janet, Lieberman, Debra, Logan, Gordon D, Mendes, Wendy B, Moersdorf, Lea, Nyhan, Brendan, Pollack, Jeffrey, Sullivan, Christopher, Vazire, Simine, and Wagenmakers, Eric-Jan
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An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2020
181. A consensus-based transparency checklist
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Aczel, Balazs, Szaszi, Barnabas, Sarafoglou, Alexandra, Kekecs, Zoltan, Kucharský, Šimon, Benjamin, Daniel, Chambers, Christopher D, Fisher, Agneta, Gelman, Andrew, Gernsbacher, Morton A, Ioannidis, John P, Johnson, Eric, Jonas, Kai, Kousta, Stavroula, Lilienfeld, Scott O, Lindsay, D Stephen, Morey, Candice C, Munafò, Marcus, Newell, Benjamin R, Pashler, Harold, Shanks, David R, Simons, Daniel J, Wicherts, Jelte M, Albarracin, Dolores, Anderson, Nicole D, Antonakis, John, Arkes, Hal R, Back, Mitja D, Banks, George C, Beevers, Christopher, Bennett, Andrew A, Bleidorn, Wiebke, Boyer, Ty W, Cacciari, Cristina, Carter, Alice S, Cesario, Joseph, Clifton, Charles, Conroy, Ronán M, Cortese, Mike, Cosci, Fiammetta, Cowan, Nelson, Crawford, Jarret, Crone, Eveline A, Curtin, John, Engle, Randall, Farrell, Simon, Fearon, Pasco, Fichman, Mark, Frankenhuis, Willem, Freund, Alexandra M, Gaskell, M Gareth, Giner-Sorolla, Roger, Green, Don P, Greene, Robert L, Harlow, Lisa L, de la Guardia, Fernando Hoces, Isaacowitz, Derek, Kolodner, Janet, Lieberman, Debra, Logan, Gordon D, Mendes, Wendy B, Moersdorf, Lea, Nyhan, Brendan, Pollack, Jeffrey, Sullivan, Christopher, Vazire, Simine, and Wagenmakers, Eric-Jan
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Behavioral Research ,Checklist ,Consensus ,Delphi Technique ,Guidelines as Topic ,Humans ,Information Dissemination ,Periodicals as Topic ,Social Sciences - Abstract
We present a consensus-based checklist to improve and document the transparency of research reports in social and behavioural research. An accompanying online application allows users to complete the form and generate a report that they can submit with their manuscript or post to a public repository.
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- 2020
182. Palynological Research of Bohai Abrikosovsky Settlement (Primorsky Krai)
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Lyashchevskaya Marina S., Bazarova Valentina B., Gelman Evgeniya I., Kudryavtseva Ekaterina P., and Piskareva Yana E.
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archaeology ,spore-pollen analysis ,bohai period ,paleo-environment ,reconstruction of economic activities ,abrikosovsky settlement ,primorsky krai ,Archaeology ,CC1-960 - Abstract
For the first time palynological research was carried out on the Abrikosovsky settlement, located in the Krounovka river valley. This site is dated back to the epoch of the Bohai state (698–926). It was determined that during its existence there were transformations of surrounding landscape associated with climatic and anthropogenic causes. Several stages of the settlement development have been defined. Pollen of cultivated, edible wild plants and industrial crops were found in the cultural layer sediments. The inhabitants of the settlement could use stalks of nettle or hemp for the production of textiles. Reed could be one of the building materials (fascine making), its phytoliths were found in the cultural layer. It was determined that one of the natural disasters was recurring strong freshets and floods in the second half of the summer.
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- 2022
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183. A Slippery Myth: How Learning Style Beliefs Shape Reasoning about Multimodal Instruction and Related Scientific Evidence
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Nancekivell, Shaylene E., Sun, Xin, Gelman, Susan A., and Shah, Priti
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The learning style myth is a commonly held myth that matching instruction to a student's "learning style" will result in improved learning, while providing mismatched instruction will result in suboptimal learning. The present study used a short online reasoning exercise about the efficacy of multimodal instruction to investigate the nature of learning styles beliefs. We aimed to: understand how learning style beliefs interact with beliefs about multimodal learning; characterize the potential complexity of learning style beliefs and understand how this short exercise might influence endorsements of learning styles. Many participants who believed in the learning style myth supported the efficacy of multimodal learning, and many were willing to revise their belief in the myth after the exercise. Personal experiences and worldviews were commonly cited as reasons for maintaining beliefs in learning styles. Findings reveal the complexity of learning style beliefs, and how they interact with evidence in previously undocumented ways.
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- 2021
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184. The Development of Bayesian Statistics
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Gelman, Andrew
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- 2022
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185. Stan: A Probabilistic Programming Language
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Carpenter, Bob, Gelman, Andrew, Hoffman, Matthew D., Lee, Daniel, Goodrich, Ben, Betancourt, Michael, Brubaker, Marcus A., Guo, Jiqiang, Li, Peter, and Riddell, Allen
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Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. Stan is also a platform for computing log densities and their gradients and Hessians, which can be used in alternative algorithms such as variational Bayes, expectation propagation, and marginal inference using approximate integration. To this end, Stan is set up so that the densities, gradients, and Hessians, along with intermediate quantities of the algorithm such as acceptance probabilities, are easily accessible. Stan can be called from the command line using the "cmdstan" package, through R using the "rstan" package, and through Python using the "pystan" package. All three interfaces support sampling and optimization-based inference with diagnostics and posterior analysis. "rstan" and "pystan" also provide access to log probabilities, gradients, Hessians, parameter transforms, and specialized plotting.
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- 2017
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186. Autocontención y humanidad fronteriza
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Pehuén Barzola Elizagaray, Ofelia Agoglia, Camilo Arcos, and Mariela Gelman
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ética ,alteridad ,crisis ambiental ,epicureísmo ,barbarie ,Philosophy (General) ,B1-5802 ,Science ,Social sciences (General) ,H1-99 - Abstract
La saturación ecológica del planeta a la que hemos llegado hace insostenible el actual modo de vida de la humanidad, por lo que es necesario tomar medidas drásticas para reinsertar nuestras prácticas dentro de los límites biofísicos que nos impone. Para ello, es necesario hacer frente a dos tendencias de nuestra sociedad, que en la obra de Jorge Riechmann se desarrollan como: consumo desmedido y humanidad en fuga. Contra éstas, el autor propone la autocontención –una ética de la suficiencia– y el desarrollo de una humanidad fronteriza. El diálogo entre esta teoría y otros autores de la corriente crítica nos permite desentrañar las características de la sociedad actual que causan estas tendencias autodestructivas, como así también los principios filosóficos que sustentan la propuesta del autor. Consideramos que la humanidad fronteriza que propone Riechmann no debe fabricarse desde cero, en cambio, puede encontrarse en los márgenes de la civilización occidental, donde los modos de vida se han desarrollado históricamente dentro de los límites biofísicos que impone su ambiente. Nos referimos a países del sur global, culturas ancestrales y campesinas, que son menospreciadas por el pensamiento dominante de la modernidad tardía, muchas veces bajo el mote de barbarie, y que, no obstante, cumplen con los principios éticos desarrollados en este trabajo.
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- 2023
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187. Diverse Response to Local Pharmacological Blockade of Sirt1 Cleavage in Age-Induced versus Trauma-Induced Osteoarthritis Female Mice
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Yonathan H. Maatuf, Miya Marco, Shani Unger-Gelman, Eli Farhat, Anna Zobrab, Ankita Roy, Ashish Kumar, Idan Carmon, Eli Reich, and Mona Dvir-Ginzberg
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Sirt1 ,aging ,intra-articular ,osteoarthritis ,senescence ,Microbiology ,QR1-502 - Abstract
Objective: Previous studies have shown that the cleavage of Sirt1 contributes to the development of osteoarthritis (OA). In fact, OA was effectively abrogated by the intra-articular (IA) administration of two compounds, one blocking Sirt1 cleavage (CA074me) and the other activating Sirt1 (SRT1720), using a post-traumatically induced model (PTOA) in young female mice. In this study, we attempted to understand if this local treatment is effective in preventing age-associated OA (AOA) progression and symptoms. Design: A group of 17-month-old female C57BL/6J mice were IA administered with CA074me and/or SRT1720 or their combination. Joint histopathological analysis and bone histomorphometry were carried out, with an assessment of knee mechanical hyperalgesia. A serum analysis for NT/CT Sirt1 was carried out along with immunohistochemistry for articular cartilage to detect p16INK4A or γH2A.X. Similarly, meniscal cartilage was monitored for Lef1 and Col1a1 deposition. The data were compared for young female mice subjected to post-traumatic OA (PTOA). Results: Similar to PTOA, combination-treated AOA exhibited improved knee hyperalgesia, yet structural improvements were undetected, corresponding to unchanged NT/CT Sirt1 serum levels. Both AOA and PTOA exhibited unchanged staining for nuclear p16INK4A or γH2A.X and lacked a correlation with OA severity. Contrarily to PTOA, the combination treatment with AOA did not exhibit a local reduction in the Lef1 and Col1 targets. Conclusions: When targeting Sirt1 cleavage, the PTOA and AOA models exhibited a similar pain response to the combination treatment; however, they displayed diverse structural outcomes for joint-related damage, related to Lef1-dependent signaling. Interestingly, nuclear p16INK4A was unaffected in both models, regardless of the treatment’s effectiveness. Finally, these findings highlight the variations in the responses between two highly researched OA preclinical models, reflecting OA pathophysiology heterogeneity and variations in gender-related drug-response mechanisms.
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- 2024
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188. Elevated Plasma Protein Carbonyl Concentration Is Associated with More Abnormal White Matter in People with HIV
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Patricia K. Riggs, Albert M. Anderson, Bin Tang, Leah H. Rubin, Susan Morgello, Christina M. Marra, Benjamin B. Gelman, David B. Clifford, Donald Franklin, Robert K. Heaton, Ronald J. Ellis, Christine Fennema-Notestine, and Scott L. Letendre
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HIV ,oxidative stress ,brain ,magnetic resonance imaging ,white matter ,Microbiology ,QR1-502 - Abstract
Structural brain abnormalities, including those in white matter (WM), remain common in people with HIV (PWH). Their pathogenesis is uncertain and may reflect multiple etiologies. Oxidative stress is associated with inflammation, HIV, and its comorbidities. The post-translational carbonylation of proteins results from oxidative stress, and circulating protein carbonyls may reflect this. In this cross-sectional analysis, we evaluated the associations between protein carbonyls and a panel of soluble biomarkers of neuronal injury and inflammation in plasma (N = 45) and cerebrospinal fluid (CSF, n = 32) with structural brain MRI. The volume of abnormal WM was normalized for the total WM volume (nAWM). In this multisite project, all regression models were adjusted for the scanner. The candidate covariates included demographics, HIV disease characteristics, and comorbidities. Participants were PWH on virally suppressive antiretroviral therapy (ART) and were mostly white (64.4%) men (88.9%), with a mean age of 56.8 years. In unadjusted analyses, more nAWM was associated with higher plasma protein carbonyls (p = 0.002) and higher CCL2 (p = 0.045). In the adjusted regression models for nAWM, the association with plasma protein carbonyls remained significant (FDR p = 0.018). Protein carbonyls in plasma may be a valuable biomarker of oxidative stress and its associated adverse health effects, including within the central nervous system. If confirmed, these findings would support the hypothesis that reducing oxidative stress could treat or prevent WM injury in PWH.
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- 2023
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189. Effects of delay in anti-vascular endothelial growth factor intravitreal injections for neovascular age-related macular degeneration
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Hanhart, Joel, Wiener, Rony, Totah, Hashem, Gelman, Evgeny, Weill, Yishay, Abulafia, Adi, and Zadok, David
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- 2022
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190. Limitations of 'Limitations of Bayesian leave-one-out cross-validation for model selection'
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Vehtari, Aki, Simpson, Daniel P., Yao, Yuling, and Gelman, Andrew
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Statistics - Methodology ,Mathematics - Statistics Theory ,Statistics - Computation - Abstract
This article is an invited discussion of the article by Gronau and Wagenmakers (2018) that can be found at https://dx.doi.org/10.1007/s42113-018-0011-7., Comment: To appear in Computational Brain & Behavior
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- 2018
191. Validating Bayesian Inference Algorithms with Simulation-Based Calibration
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Talts, Sean, Betancourt, Michael, Simpson, Daniel, Vehtari, Aki, and Gelman, Andrew
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Statistics - Methodology - Abstract
Verifying the correctness of Bayesian computation is challenging. This is especially true for complex models that are common in practice, as these require sophisticated model implementations and algorithms. In this paper we introduce \emph{simulation-based calibration} (SBC), a general procedure for validating inferences from Bayesian algorithms capable of generating posterior samples. This procedure not only identifies inaccurate computation and inconsistencies in model implementations but also provides graphical summaries that can indicate the nature of the problems that arise. We argue that SBC is a critical part of a robust Bayesian workflow, as well as being a useful tool for those developing computational algorithms and statistical software., Comment: 19 pages, 13 figures
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- 2018
192. Yes, but Did It Work?: Evaluating Variational Inference
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Yao, Yuling, Vehtari, Aki, Simpson, Daniel, and Gelman, Andrew
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Statistics - Machine Learning ,Statistics - Computation - Abstract
While it's always possible to compute a variational approximation to a posterior distribution, it can be difficult to discover problems with this approximation. We propose two diagnostic algorithms to alleviate this problem. The Pareto-smoothed importance sampling (PSIS) diagnostic gives a goodness of fit measurement for joint distributions, while simultaneously improving the error in the estimate. The variational simulation-based calibration (VSBC) assesses the average performance of point estimates., Comment: Appearing at International Conference on Machine Learning 2018
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- 2018
193. Voting patterns in 2016: Exploration using multilevel regression and poststratification (MRP) on pre-election polls
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Trangucci, Rob, Ali, Imad, Gelman, Andrew, and Rivers, Doug
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Statistics - Applications ,Economics - Econometrics - Abstract
We analyzed 2012 and 2016 YouGov pre-election polls in order to understand how different population groups voted in the 2012 and 2016 elections. We broke the data down by demographics and state. We display our findings with a series of graphs and maps. The R code associated with this project is available at https://github.com/rtrangucci/mrp_2016_election/.
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- 2018
194. Frailty in medically complex individuals with chronic HIV.
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Morgello, Susan, Gensler, Gary, Sherman, Seth, Ellis, Ronald J, Gelman, Benjamin B, Kolson, Dennis L, Letendre, Scott L, Robinson-Papp, Jessica, Rubin, Leah H, Singer, Elyse, and Valdes-Sueiras, Miguel
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Biomedical and Clinical Sciences ,Clinical Sciences ,Health Sciences ,Infectious Diseases ,Clinical Research ,Behavioral and Social Science ,Aging ,HIV/AIDS ,2.1 Biological and endogenous factors ,Aetiology ,Good Health and Well Being ,Adult ,Aged ,Aged ,80 and over ,Comorbidity ,Female ,Frailty ,HIV Infections ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Prospective Studies ,Young Adult ,cognitive impairment ,depression ,diabetes ,frailty ,HIV ,pulmonary disease ,women ,NNTC ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology ,Biomedical and clinical sciences ,Health sciences - Abstract
OBJECTIVES:Multi-morbidity and frailty are consequences of aging with HIV, yet not everyone with medical disease is frail. Our objective was to identify factors associated with frailty in a multi-morbid HIV-infected cohort. DESIGN:Analysis of a prospective, observational, longitudinal cohort. METHODS:Three hundred thirty two participants in the medically advanced NNTC were categorized as frail, pre-frail, or robust with the Fried Frailty Index. A series of logistic regression analyses (first univariate, then multivariable) were conducted to determine whether medical comorbidities, immunologic and virologic parameters, and/or neuropsychiatric variables predicted increased odds of frailty. RESULTS:The mean number of medical comorbidities per participant was 2.7, mean CD4 T-cell count was 530 cells/mm3, and 77% had undetectable HIV RNA in blood. Twenty two percent were frail, 55% pre-frail, and 23% robust. Significant predictors of frailty in multivariable analysis were: cognitive diagnosis rendered by Frascati criteria, depressive symptoms, diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), and sex. Men were less likely to be frail than women. Higher odds of frailty were seen with: symptomatic, but not asymptomatic, cognitive impairment (compared to cognitive normals); more depressive symptoms; DM; and COPD. CONCLUSIONS:Neuropsychiatric illness increased odds of being frail on a predominantly physical/motoric measure, but only when symptomatic. Lack of association with asymptomatic impairment may reflect the importance of functional limitation to frailty, or possibly a unique resilience phenotype. Understanding why sex and symptomatic neuropsychiatric illness are associated with frailty will be important in managing HIV-associated morbidity in aging populations.
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- 2019
195. Correlates of HIV RNA concentrations in cerebrospinal fluid during antiretroviral therapy: a longitudinal cohort study.
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Livelli, Alessandro, Vaida, Florin, Ellis, Ronald J, Ma, Qing, Ferrara, Micol, Clifford, David B, Collier, Ann C, Gelman, Benjamin B, Marra, Christina M, McArthur, Justin C, McCutchan, J Allen, Morgello, Susan, Sacktor, Ned, Simpson, David M, Grant, Igor, Letendre, Scott L, and CHARTER Group
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CHARTER Group ,Cerebrospinal Fluid ,Humans ,HIV-1 ,HIV Infections ,RNA ,Viral ,Anti-Retroviral Agents ,CD4 Lymphocyte Count ,Treatment Outcome ,Antiretroviral Therapy ,Highly Active ,Viral Load ,Odds Ratio ,Longitudinal Studies ,Adult ,Middle Aged ,Female ,Male ,Mental Health ,Pediatric ,Brain Disorders ,HIV/AIDS ,Infectious Diseases ,Pediatric AIDS ,Infection ,Good Health and Well Being ,Medical and Health Sciences - Abstract
BackgroundFew large projects have evaluated the factors that influence the HIV RNA concentrations (viral load) in cerebrospinal fluid (CSF) during antiretroviral therapy (ART) over time. We aimed to determine the correlates of HIV RNA in CSF in a large cohort.MethodsWe analysed longitudinal data from adults living with HIV in the US CHARTER cohort. Participants in the CHARTER study were recruited from six US academic medical centres-in Baltimore (MD), Galveston (TX), New York (NY), St Louis (MO), San Diego (C92A), and Seattle (WA). Participants in this study had been assessed at least three times between Sept 4, 2003, and Sept 14, 2010, and were taking ART and underwent venous and lumbar puncture with measurement of HIV RNA concentration at all assessments. The lower limit of quantification of the HIV RNA assays was 50 copies per mL. Data were analysed with longitudinal mixed effects logistic regression to identify correlates of HIV RNA concentration (as a binary [detectable or not] and as a continuous variable) in CSF over time. We tested demographic characteristics, plasma HIV RNA, nadir and current CD4 cell count in blood, current CD8 cell count in blood, estimated duration of HIV infection, AIDS diagnosis, duration of ART, adherence to ART, ART characteristics, and CSF characteristics as potential correlates.FindingsAt the time of analysis, 2207 assessments from 401 participants met the criteria for inclusion in this study. Mean duration of observation was 33·7 months (range 12-84). HIV RNA concentrations in 710 (32·2%) plasma specimens and in 255 (11·6%) CSF specimens were greater than the lower limit of quantification. The best multivariate model of HIV RNA concentration in CSF greater than the lower limit of quantification over time included increased plasma HIV RNA concentration (odds ratio 18·0 per 1 log10 copy per mL, 95% CI 11·3 to 28·8; p
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- 2019
196. Novel yamane technique modification for haptic exposure after glued intrascleral haptic fixation
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Gelman, Rachel A and Garg, Sumit
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Biomedical and Clinical Sciences ,Ophthalmology and Optometry ,Haptic exposure ,Intraocular lens ,Yamane technique - Abstract
The field of intraocular lens fixation in the setting of inadequate capsular support is a dynamic one as surgical approaches are constantly evolving. There has been a paradigm shift towards the use of sutureless methods of scleral fixation to avoid suture-related complications. In the latest described style of scleral fixation, IOLs can be secured without suture or "glue", and rather with the creation of a flange on each haptic that allows for firm intrascleral fixation. We describe a modification of the flange technique to refixate patients with glued IOLs who developed haptic extrusion and required surgical intervention.
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- 2019
197. Stereotactic image-guided neoadjuvant ablative single-dose radiation, then lumpectomy, for early breast cancer: the SIGNAL prospective single-arm trial of single-dose radiation therapy
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Guidolin, K, Yaremko, B, Lynn, K, Gaede, S, Kornecki, A, Muscedere, G, BenNachum, I, Shmuilovich, O, Mouawad, M, Yu, E, Sexton, T, Gelman, N, Moiseenko, V, Brackstone, M, and Lock, M
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Biomedical and Clinical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Biomedical Imaging ,Clinical Trials and Supportive Activities ,Clinical Research ,Patient Safety ,Breast Cancer ,Cancer ,Evaluation of treatments and therapeutic interventions ,Detection ,screening and diagnosis ,6.5 Radiotherapy and other non-invasive therapies ,4.2 Evaluation of markers and technologies ,Aged ,Breast Neoplasms ,Female ,Humans ,Mastectomy ,Segmental ,Middle Aged ,Neoadjuvant Therapy ,Pilot Projects ,Quality of Life ,Radiosurgery ,Radiation oncology ,stereotactic body radiotherapy ,SBRT ,sbrt ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
Background and purposeAdjuvant whole-breast irradiation after breast-conserving surgery, typically delivered over several weeks, is the traditional standard of care for low-risk breast cancer. More recently, hypofractionated, partial-breast irradiation has increasingly become established. Neoadjuvant single-fraction radiotherapy (rt) is an uncommon approach wherein the unresected lesion is irradiated preoperatively in a single fraction. We developed the signal (Stereotactic Image-Guided Neoadjuvant Ablative Radiation Then Lumpectomy) trial, a prospective single-arm trial to test our hypothesis that, for low-risk carcinoma of the breast, the preoperative single-fraction approach would be feasible and safe.MethodsPatients presenting with early-stage (T < 3 cm), estrogen-positive, clinically node-negative invasive carcinoma of the breast with tumours at least 2 cm away from skin and chest wall were enrolled. All patients received prone breast magnetic resonance imaging (mri) and prone computed tomography simulation. Treatable patients received a single 21 Gy fraction of external-beam rt (as volumetric-modulated arc therapy) to the primary lesion in the breast, followed by definitive surgery 1 week later. The primary endpoints at 3 weeks, 6 months, and 1 year were toxicity and cosmesis (that is, safety) and feasibility (defined as the proportion of mri-appropriate patients receiving rt).ResultsOf 52 patients accrued, 27 were successfully treated. The initial dosimetric constraints resulted in a feasibility failure, because only 57% of eligible patients were successfully treated. Revised dosimetric constraints were developed, after which 100% of patients meeting mri criteria were treated according to protocol. At 3 weeks, 6 months, and 1 year after the operation, toxicity, patient- and physician-rated cosmesis, and quality of life were not significantly different from baseline.ConclusionsThe signal trial presents a feasible method of implementing single-dose preoperative rt in early-stage breast cancer. This pilot study did not identify any significant toxicity and demonstrated excellent cosmetic and quality-of-life outcomes. Future randomized multi-arm studies are required to corroborate these findings.
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- 2019
198. Effects of comorbidity burden and Age on brain integrity in HIV
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Saloner, Rowan, Heaton, Robert K, Campbell, Laura M, Chen, Anna, Franklin, Donald, Ellis, Ronald J, Collier, Ann C, Marra, Christina, Clifford, David B, Gelman, Benjamin, Sacktor, Ned, Morgello, Susan, McCutchan, J Allen, Letendre, Scott, Grant, Igor, and Fennema-Notestine, Christine
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Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,HIV/AIDS ,Neurosciences ,Behavioral and Social Science ,Neurodegenerative ,Biomedical Imaging ,Sexually Transmitted Infections ,Aging ,Basic Behavioral and Social Science ,Mental Health ,Acquired Cognitive Impairment ,Infectious Diseases ,Dementia ,Brain Disorders ,Neurological ,Adult ,Anti-Retroviral Agents ,Brain ,Cohort Studies ,Comorbidity ,Cross-Sectional Studies ,Female ,Gray Matter ,HIV ,HIV Infections ,Humans ,Linear Models ,Magnetic Resonance Imaging ,Magnetic Resonance Spectroscopy ,Male ,Middle Aged ,Multivariate Analysis ,Neuroimaging ,Neuropsychological Tests ,Sustained Virologic Response ,White Matter ,aging ,brain ,comorbidity ,MRI ,magnetic resonance spectroscopy ,neurocognitive disorders ,CHARTER Study Group ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology ,Biomedical and clinical sciences ,Health sciences - Abstract
ObjectiveThe influence of confounding neurocognitive comorbidities in people living with HIV (PLWH) on neuroimaging has not been systematically evaluated. We determined associations between comorbidity burden and brain integrity and examined the moderating effect of age on these relationships.DesignObservational, cross-sectional substudy of the CNS HIV Antiretroviral Therapy Effects Research cohort.MethodsA total of 288 PLWH (mean age = 44.2) underwent structural MRI and magnetic resonance spectroscopy as well as neurocognitive and neuromedical assessments. Consistent with Frascati criteria for HIV-associated neurocognitive disorders (HAND), neuromedical and neuropsychiatric comorbidity burden was classified as incidental (mild), contributing (moderate), or confounding (severe-exclusionary) to a diagnosis of HAND. Multiple regression modeling predicted neuroimaging outcomes as a function of comorbidity classification, age, and their interaction.ResultsComorbidity classifications were 176 incidental, 77 contributing, and 35 confounded; groups did not differ in HIV disease characteristics. Relative to incidental and contributing participants, confounded participants had less cortical gray matter and more abnormal white matter and ventricular cerebrospinal fluid, alongside more neuroinflammation (choline, myo-inositol) and less neuronal integrity (N-acetylaspartate). Older age exacerbated the impact of comorbidity burden: to a greater extent in the confounded group, older age was associated with more abnormal white matter (P = 0.017), less total white matter (P = 0.015), and less subcortical gray matter (P = 0.014).ConclusionNeuroimaging in PLWH reveals signatures associated with confounding neurocognitive conditions, emphasizing the importance of evaluating these among individuals with suspected HAND. Older age amplifies subcortical and white matter tissue injury, especially in PLWH with severe comorbidity burden, warranting increased attention to this population as it ages.
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- 2019
199. Frailty in the medically complex National NeuroAIDS Tissue Consortium (NNTC) cohort.
- Author
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Morgello, Susan, Gensler, Gary, Sherman, Seth, Ellis, Ronald J, Gelman, Benjamin B, Kolson, Dennis L, Letendre, Scott L, Robinson-Papp, Jessica, Rubin, Leah H, Singer, Elyse, Valdes-Sueiras, Miguel, and NNTC
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NNTC ,cognitive impairment ,depression ,diabetes ,frailty ,HIV ,pulmonary disease ,women ,HIV/AIDS ,Aging ,Behavioral and Social Science ,Clinical Research ,Infectious Diseases ,2.1 Biological and endogenous factors ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Virology - Abstract
OBJECTIVES:Multi-morbidity and frailty are consequences of aging with HIV, yet not everyone with medical disease is frail. Our objective was to identify factors associated with frailty in a multi-morbid HIV-infected cohort. DESIGN:Analysis of a prospective, observational, longitudinal cohort. METHODS:Three hundred thirty two participants in the medically advanced NNTC were categorized as frail, pre-frail, or robust with the Fried Frailty Index. A series of logistic regression analyses (first univariate, then multivariable) were conducted to determine whether medical comorbidities, immunologic and virologic parameters, and/or neuropsychiatric variables predicted increased odds of frailty. RESULTS:The mean number of medical comorbidities per participant was 2.7, mean CD4 T-cell count was 530 cells/mm3, and 77% had undetectable HIV RNA in blood. Twenty two percent were frail, 55% pre-frail, and 23% robust. Significant predictors of frailty in multivariable analysis were: cognitive diagnosis rendered by Frascati criteria, depressive symptoms, diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), and sex. Men were less likely to be frail than women. Higher odds of frailty were seen with: symptomatic, but not asymptomatic, cognitive impairment (compared to cognitive normals); more depressive symptoms; DM; and COPD. CONCLUSIONS:Neuropsychiatric illness increased odds of being frail on a predominantly physical/motoric measure, but only when symptomatic. Lack of association with asymptomatic impairment may reflect the importance of functional limitation to frailty, or possibly a unique resilience phenotype. Understanding why sex and symptomatic neuropsychiatric illness are associated with frailty will be important in managing HIV-associated morbidity in aging populations.
- Published
- 2019
200. Cerebrospinal Fluid Ceruloplasmin, Haptoglobin, and Vascular Endothelial Growth Factor Are Associated with Neurocognitive Impairment in Adults with HIV Infection
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Kallianpur, AR, Gittleman, H, Letendre, S, Ellis, R, Barnholtz-Sloan, JS, Bush, WS, Heaton, R, Samuels, DC, Franklin, DR, Rosario-Cookson, D, Clifford, DB, Collier, AC, Gelman, B, Marra, CM, McArthur, JC, McCutchan, JA, Morgello, S, Grant, I, Simpson, D, Connor, JR, Hulgan, T, and the CHARTER Study Group
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Medical Microbiology ,Biomedical and Clinical Sciences ,Sexually Transmitted Infections ,Brain Disorders ,Acquired Cognitive Impairment ,Neurodegenerative ,Mental Health ,Infectious Diseases ,Neurosciences ,HIV/AIDS ,2.1 Biological and endogenous factors ,Adult ,Antiretroviral Therapy ,Highly Active ,Biomarkers ,Ceruloplasmin ,Comorbidity ,Female ,HIV Infections ,Haptoglobins ,Humans ,Inflammation ,Iron ,Male ,Multivariate Analysis ,Neurocognitive Disorders ,Regression Analysis ,Vascular Endothelial Growth Factor A ,Haptoglobin ,Vascular endothelial growth factor ,Biomarker ,HIV-associated neurocognitive disorder ,Cerebrospinal fluid ,CHARTER Study Group ,Psychology ,Cognitive Sciences ,Neurology & Neurosurgery ,Biochemistry and cell biology - Abstract
Dysregulated iron transport and a compromised blood-brain barrier are implicated in HIV-associated neurocognitive disorders (HAND). We quantified the levels of proteins involved in iron transport and/or angiogenesis-ceruloplasmin, haptoglobin, and vascular endothelial growth factor (VEGF)-as well as biomarkers of neuroinflammation, in cerebrospinal fluid (CSF) from 405 individuals with HIV infection and comprehensive neuropsychiatric assessments. Associations with HAND [defined by a Global Deficit Score (GDS) ≥ 0.5, GDS as a continuous measure (cGDS), or by Frascati criteria] were evaluated for the highest versus lowest tertile of each biomarker, adjusting for potential confounders. Higher CSF VEGF was associated with GDS-defined impairment [odds ratio (OR) 2.17, p = 0.006] and cGDS in unadjusted analyses and remained associated with GDS impairment after adjustment (p = 0.018). GDS impairment was also associated with higher CSF ceruloplasmin (p = 0.047) and with higher ceruloplasmin and haptoglobin in persons with minimal comorbidities (ORs 2.37 and 2.13, respectively; both p = 0.043). In persons with minimal comorbidities, higher ceruloplasmin and haptoglobin were associated with HAND by Frascati criteria (both p
- Published
- 2019
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