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We sought to determine whether there is evidence of researcher allegiance bias in the reporting of cognitive processing therapy (CPT) for posttraumatic stress disorder (PTSD). We used a reprint analysis approach – whereby papers were coded for indications of potential bias – to determine the presence and magnitude of researcher allegiance in published randomized controlled trials (RCTs) of CPT. Twenty trials met inclusion criteria. Evidence of allegiance to CPT rather than the respective comparison conditions was typically small to negligible. A meta-regression analysis of the 17 studies which included an active comparison group did not find an association between allegiance scores and study effect size for the reduction of PTSD symptoms (95% CI: −0.05, 0.19). There is no evidence at present that the CPT literature has been unduly influenced by allegiance held to CPT or the comparator conditions. What is already known about this topic: Cognitive processing therapy (CPT) is an empirically supported treatment for posttraumatic stress disorder. Researcher "allegiance effects" can include allegiance to a given therapeutic modality. What this topic adds: Reprint analysis indicated that researcher allegiance to CPT was small to negligible. A meta-regression of 17 included studies did not find evidence of an association between allegiance scores and study-level effect size. [ABSTRACT FROM AUTHOR]

This paper investigates interval estimation for measures of overlap, namely Matusita's measure, Weitzman's measure and based on Kullback–Leibler. Two types of sampling procedures, namely, Simple Random Sample and Upper Record Values from two exponential populations. Bootstrap method series approximation is used to construct confidence intervals for the overlap measures. To illustrate the performance of the likelihood confidence intervals obtained for this overlapping coefficient, under our proposal, we carry out some simulation studies that yield adequate coverage frequencies, this study conducts for comparing the performances of various competing estimators. A real data set is analysed to exemplify our proposal. [ABSTRACT FROM AUTHOR]

Negative perceptions within parent–child relationship has become a focus of research in recent psychological literature. Keeping this in view, the current paper aims to study how parental psychological maltreatment and negative cognitive style connect with psychological distress among Pakistani adolescents? Three hundred and seventy adolescents including 200 boys and 170 girls took part in the study. The mean age was 16.11 (SD = 1.54). Participants from different educational institutes filled in Psychological Maltreatment Experience Scale, Adolescent Cognitive Style Questionnaire – Short Form (Adapted version) and Depression, Anxiety and Stress Scale. Findings of the study indicated that both parental psychological maltreatment and negative cognitive styles have strong association with psychological distress. The results emphasize the role of negative cognition in parent–child relationship and importance of reducing the hostile effects of parental maltreatment on youth's mental health. [ABSTRACT FROM AUTHOR]

Measuring economic inequality is an important topic to explore the social system. The Gini index and Pietra ratio are used by many people but are limited to reflecting the sampling distribution. In this paper, we study the interval estimates with another measure called the lower mean ratio u. By using jackknife empirical likelihood (JEL), adjusted jackknife empirical likelihood (AJEL), mean jackknife empirical likelihood (MJEL), mean adjusted jackknife empirical likelihood (MAJEL), and adjusted mean jackknife empirical likelihood methods, we propose the interval estimator for u. In the simulation study, we make a comparison of these methods in terms of coverage probability and average confidence interval length. The simulation results indicate that MAJEL performs the best among these methods for small sample sizes of the skewed distribution. For a small sample size of normal distribution, both JEL and MJEL show better performance than the other methods but MJEL is relatively time-consuming. Finally, two real data sets are analysed to illustrate the proposed methods. [ABSTRACT FROM AUTHOR]

The present study aims to explore the global landscape of neurotechnology research and investigate the factors that influence its citation impact. The data for the study were extracted from the Web of Science Core Collection database, resulting in a total of 1,473 articles related to neurotechnology. The study identified a notable increase in neurotechnology research over time, peaking at 37.20% from 2020 to 2023, with Scientific Reports as the leading journal. Collaborative efforts with two to four authors constituted 42.90% of the total articles. The United States led country-level contributions (29.26%). The University of California secured the top rank with 4.48% of the total publications. The United States Department of Health and Human Services remains at the top by contributing funding to 7.46% of research papers in the field of Neurotechnology research. Statistical tests confirmed significant correlations between research funding, collaboration, and research availability mode with citation impact. Positive correlations were identified between research funding and collaboration, while open access availability showed a negative correlation with citation impact. These findings deepen our understanding of neurotechnology research dynamics, providing insights for researchers, institutions, and policymakers. [ABSTRACT FROM AUTHOR]

With clustered data, such as where students are nested within schools or employees are nested within organizations, it is often of interest to estimate and compare associations among variables separately for each level. While researchers routinely estimate between-cluster effects using the sample cluster means of a predictor, previous research has shown that such practice leads to biased estimates of coefficients at the between level, and recent research has recommended the use of latent cluster means with the multilevel structural equation modeling framework. However, the latent cluster mean approach may not always be the best choice as it (a) relies on the assumption that the population cluster sizes are close to infinite, (b) requires a relatively large number of clusters, and (c) is currently only implemented in specialized software such as Mplus. In this paper, we show how using empirical Bayes estimates of the cluster means can also lead to consistent estimates of between-level coefficients, and illustrate how the empirical Bayes estimate can incorporate finite population corrections when information on population cluster sizes is available. Through a series of Monte Carlo simulation studies, we show that the empirical Bayes cluster-mean approach performs similarly to the latent cluster mean approach for estimating the between-cluster coefficients in most conditions when the infinite-population assumption holds, and applying the finite population correction provides reasonable point and interval estimates when the population is finite. The performance of EBM can be further improved with restricted maximum likelihood estimation and likelihood-based confidence intervals. We also provide an R function that implements the empirical Bayes cluster-mean approach, and illustrate it using data from the classic High School and Beyond Study. [ABSTRACT FROM AUTHOR]

Estimation of median survival and its 95% confidence interval depends on the choice of the survival function, standard error, and a method for constructing the confidence interval. This paper outlines several available possibilities in SAS® (version 9.4) PROC LIFETEST and compares them on theoretical grounds and using simulated data, with criteria: ability to estimate the 95% CI, coverage probability, interval width, and appropriateness for practical use. Data are generated with varying hazard patterns, N, % censoring, and censoring patterns (early, uniform, late, last visit). LIFETEST was run using the Kaplan–Meier and Nelson–Aalen estimators and the transformations available (linear, log, logit, complementary log–log, and arcsine square root). Using the Kaplan–Meier estimator with the logarithmic transformation as well as with the logit leads to a high frequency of LIFETEST not being able to estimate the 95% CI. The combination of Kaplan–Meier with the linear transformation is associated with poor coverage achieved. For small samples, late/last visit censoring has a negative effect on being able to estimate the 95% CI. Heavy early censoring can lead to low coverage of the 95% CI of median survival for sample sizes up to and including N = 40. The two combinations that are optimal for being able to estimate the 95% CI and having adequate coverage are the Kaplan–Meier estimator with complementary log–log transformation, and the Nelson–Aalen estimator with linear transformation. The former fares best on the third criterion (smaller width) and is also the SAS® default and validates the choice of default. [ABSTRACT FROM AUTHOR]

In this paper, we consider a competitive risk scenario in which the initial number of competing risks, assumed to follow a shifted Poisson distribution, is subject to a destructive element. In such settings, both the number of initial risks and risks remaining active after destruction represent missing data. Assuming the population of interest to have a cure component and the form of the data as interval-censored, we extend the destructive shifted Poisson cure model with Weibull lifetimes to accommodate interval-censored data and develop an efficient expectation maximization algorithm for this model. By using the conditional distributions of the missing data, the conditional expected complete log-likelihood function is decomposed into simpler functions which are then maximized independently. An extensive simulation study is carried out to demonstrate the performance of the proposed estimation method through calculated bias, root mean square error, and coverage probability of the asymptotic confidence interval. Also considered is the efficacy of the proposed EM algorithm as compared to direct maximization of the observed log-likelihood function. Finally, data from a crime recidivism study is analyzed for illustrative purpose. [ABSTRACT FROM AUTHOR]

The paper provides computations comparing the accuracy of the saddlepoint approximation approach and the normal approximation method in approximating the mid-p-value of Wilcoxon and log-rank tests for the left-truncated data using a truncated binomial design. The paper uses real data examples to apply the comparison, along with some simulated studies. Confidence intervals are provided by the inversion of the tests under consideration. [ABSTRACT FROM AUTHOR]

In vitro dissolution profile has been shown to be correlated with the drug absorption and has often been considered as a metric for assessing in vitro bioequivalence between a test product and corresponding reference one. Various methods have been developed to assess the similarity between two dissolution profiles. In particular, similarity factor $${f_2}$$ f 2 has been reviewed and discussed extensively in many statistical articles. Although the $${f_2}$$ f 2 lacks inferential statistical properties, the estimation of $${f_2}$$ f 2 and its various modified versions were the most widely used metric for comparing dissolution profiles. In this paper, we investigated performances of the naive $${f_2}$$ f 2 estimate method, bootstrap $${f_2}$$ f 2 confidence interval method and bias corrected-accelerated (BCa) bootstrap $${f_2}$$ f 2 confidence interval method for comparing dissolution profiles. Our studies show that naive $${f_2}$$ f 2 estimate method and BCa bootstrap $${f_2}$$ f 2 confidence interval method are unable to control the type I error rate. The bootstrap $${f_2}$$ f 2 confidence interval method can control the type I error rate under a specific level. However, it will cause great conservatism on the power of the test. To solve the potential issues of the previous methods, we recommended a bootstrap bias corrected (BC) $${f_2}$$ f 2 confidence interval method in this paper. The type I error rate, power and sensitivity among different $${f_2}$$ f 2 methods were compared based on simulations. The recommended bootstrap BC $${f_2}$$ f 2 confidence interval method shows better control of type I error than the naive $${f_2}$$ f 2 estimate method and BCa bootstrap $${f_2}$$ f 2 confidence interval method. It also provides better power than the bootstrap $${f_2}$$ f 2 confidence interval method. [ABSTRACT FROM AUTHOR]

The randomization design employed to gather the data is the basis for the exact distributions of the permutation tests. One of the designs that is frequently used in clinical trials to force balance and remove experimental bias is the truncated binomial design. The exact distribution of the weighted log-rank class of tests for censored cluster medical data under the truncated binomial design is examined in this paper. For p-values in this class, a double saddlepoint approximation is developed using the truncated binomial design. With the right censored cluster data, the saddlepoint approximation’s speed and accuracy over the normal asymptotic make it easier to invert the weighted log-rank tests and find nominal $95\% $95% confidence intervals for the treatment effect. [ABSTRACT FROM AUTHOR]

Children and youth with special health care needs often undergo a higher frequency of sedated procedures, increasing their risk for complications, prolonged hospitalizations, as well as increased time and cost burdens. By consolidating multiple procedures requiring anesthetic sedation, the risk and cost can be reduced for both families and health care systems. In this paper, we discuss an innovative model to coordinate procedures across internal and external providers to improve quality of care for this vulnerable patient population. Although preliminary, our findings suggest this approach may be beneficial to both the patient, family, and health system. [ABSTRACT FROM AUTHOR]

Across most developmental periods, males tend to drink at a higher frequency and at a higher intensity than females. In identifying the mechanism responsible for these differences, biological factors have been a prevalent focus; however, gender expression is also highlighted. The purpose of this paper is to decipher how differences in binge drinking are attributed to sex differences and gendered traits. Using data from Wave III of the National Longitudinal Study of Adolescent to Adult Health (ADD Health) (n = 8,882), we conducted a multiple group moderation analysis to examine how differences in biological sex and gender roles in emerging adulthood predicted binge drinking. We found that binge drinking in emerging adulthood was most strongly predicted by high levels of masculinity and low levels of femininity in emerging adulthood. As masculinity decreased, alcohol use decreased. Femininity significantly moderated masculinity's association with binge drinking, primarily when masculinity was high, and this did not vary across sex after controlling for gender roles. Our findings expand sex and gender research surrounding alcohol use. For both males and females, the higher the masculinity the more frequent alcohol use, an effect of which was buffered by higher levels of femininity. Clinicians should take into consideration gender role ascription of their clients when determining the risk profile during assessment. [ABSTRACT FROM AUTHOR]

This paper sought to determine risk factors of occupational injury in the Irish dairy farming sector and to estimate the roles of both dairying expansion and the discipline of agricultural extension in influencing reducing injury occurrence. Data for this study was obtained via the Irish National Farm Survey (NFS). In total, 260 farm (83.6% of NFS dairy farm sample) workplace injury survey questionnaires were completed by NFS recorders by interviewing principal farm operators for year 2017. Injury survey data was analysed for 48 variables in conjunction with NFS core farm socio-economic, physical and financial data. Additionally, core data from 2010 for 78.5% of farms surveyed in 2017 was included in the study. Data were analysed using a three-step statistical testing process which met all Binary Logistic Regression assumptions. The study found that dairy farms had a higher farm workplace occupational injury level compared to a previous study. The study data indicates occurrence of elevated injury levels on farms which expanded and which were intensively managed from a milk production perspective. Farm expansion was associated with increased labor units used and increased investment per hectare. The study also found that use of extension services and farm discussion group participation were not associated with injury occurrence. This study demonstrates how a retrospective farm workplace occupational injury survey of Irish dairy farms, analysed in combination with farm business data can be used to identify injury risk factors, including those associated with production expansion. Irish dairy farms have a heightened farm workplace occupation injury level while dairy production expansion increased injury levels. Extension engagement did not influence on injury levels. Approaches to improve farm safety on dairy farms are outlined. [ABSTRACT FROM AUTHOR]

The introduction of ChatGPT 3.5 in November 2022 ignited a sensation in the academic community, leaving many astounded by its capabilities. This new release more closely emulates human responses than its predecessors. Among its remarkable capabilities, it can answer questions, catalog items in MARC21, recommend reading lists, and make suggestions on a wide array of topics. To assess ChatGPT’s efficacy in aiding library users, the authors of this paper conducted an experiment comparing ChatGPT’s performance with that of librarians in answering reference questions. Thirty questions were randomly selected from the transaction log of the reference inquiries between June 1, 2023 to July 31, 2023 at the Rider University Libraries. These queries constituted 34% of the total user questions during this two-month period. The authors compared the answers by ChatGPT and those by reference librarians for their accuracy, relevance, and friendliness. The findings indicate that reference librarians markedly outperformed their robotic counterpart. An evident issue arises from ChatGPT’s deficiency in understanding local policies and practices. This consequently hinders its ability to provide satisfactory answers in those areas. OpenAI posits that ChatGPT’s proficiency can be enhanced through targeted fine-tuning using locally specific information. At the moment, ChatGPT remains a great tool for librarians. [ABSTRACT FROM AUTHOR]

To investigate determinants of willingness to adopt telerehabilitation, willingness of technology use, core affect regarding using telerehabilitation, and digital competencies in rehabilitation professionals in Austria and Germany before and during the COVID-19 pandemic. A cross-sectional paper-based and online survey was conducted before and during COVID-19, respectively, with three cohorts of rehabilitation professionals. Outcomes were the willingness to adopt telerehabilitation evaluated using the extended Unified Theory of Acceptance and Use of Technology; willingness of technology use using the short scale for assessing the willingness of technology use; digital competencies and core affect using the Digital Competence Framework and semantic differential, respectively. Multivariate ordinal regression analysis was performed to determine predictors. Included were 603 rehabilitation professionals. Analysis revealed differences between Austria and Germany and before and during the pandemic for most outcomes. German residency, the pandemic, and a higher educational level were most important predictors of higher willingness to adopt telerehabilitation, willingness of technology use, digital competencies, and positive core affect. The pandemic increased most aspects of willingness to adopt telerehabilitation, willingness of technology use, digital competencies, and positive core affect. Results confirm that rehabilitation professionals with higher degrees are more prone to adopt innovations in healthcare.Registration: German Clinical Trials Register (DRKS00021464) The willingness to adopt telerehabilitation is associated with external factors increasing the need for alternative rehabilitation delivery, such as COVID-19, and with financial facilitators, such as reimbursement. As the willingness to adopt telerehabilitation is higher among speech and language therapists and dietitians, efforts are necessary to enhance its use in physiotherapists and occupational therapists. As a higher willingness to adopt telerehabilitation was observed in younger rehabilitation professionals and those with higher education, increasing the importance of telerehabilitation in education curricula and further knowledge transfer into practice for those already working in the field seems necessary. [ABSTRACT FROM AUTHOR]

The benefits of video games in physical education have been extensively researched (Camunas-Vega & Alcaide-Risoto, 2020; Fang et al. 2020). However, little attention has been paid to the effectiveness of commercial video games combined with basketball practice in improving students' reasoning skills (Chuang, Yeh, and Lin 2021; Rogers et al., 2020). In this paper, we present the results of an experimental study whose objective was to assess the effects of a programme that includes the use of a video game as the main learning tool to enhance the reasoning process of secondary education students in Physical Education. A total of 271 students participated in this study. A quasi-experimental pre-post design with a control group was used. The experimental group performed a specific training programme with the NBA 2K16 video game for nine weeks, once a week, 60 min per session. The results show that the students who participated in the programme achieved an improvement in deductive and spatial reasoning with a moderate effect possibly due to the use of a video game. Another conclusion was that sex differences in the spatial and deductive reasoning on the pretest disappeared on the post-test. [ABSTRACT FROM AUTHOR]

This paper aimed to explore BDSM involvement and its effects on mental health. The study had four objectives: (1) quantify frequencies of BDSM self-labels, (2) describe patterns of BDSM involvement subtypes (i.e. fantasy, behaviour, and identity), (3) compare BDSM-related involvement among two samples: members of the National Coalition for Sexual Freedom (NCSF) and a non-NCSF sample of adults interested in or practicing BDSM, and (4) understand whether BDSM identity specialty interest group membership is associated with enhanced health (i.e. coping). Data were drawn from archival survey data on sexuality and health. Participants (N = 1036) completed BDSM identity and behaviour measures. The most common BDSM identities were 'dominant' and 'submissive'. NCSF members adopted BDSM identity labels more frequently compared to general adult BDSM practitioners. Dominant and submissive fantasy and behaviour varied by gender, sexual orientation, and relationship status. For example, cisgender men reported elevated patterns of dominant and lowered submissive BDSM involvement. Compared to non-NCSF members, NCSF members reported higher dominant and submissive fantasies and behaviours, and better mental health and emotion regulation. Finally, submissive fantasy involvement displayed statistically significant, but weak, positive associations with psychological health. Potential implications for public health practice, theory development, and future research are discussed. [ABSTRACT FROM AUTHOR]

Causal mediation analysis is a popular approach for investigating whether the effect of an exposure on an outcome is through a mediator to better understand the underlying causal mechanism. In recent literature, mediation analysis with multiple mediators has been proposed for continuous and dichotomous outcomes. In contrast, methods for mediation analysis for an ordinal outcome are still underdeveloped. In this paper, we first review mediation analysis methods with a continuous mediator for an ordinal outcome and then develop mediation analysis with a binary mediator for an ordinal outcome. We further consider multiple mediators for an ordinal outcome in the counterfactual framework and provide identification assumptions for identifying the mediation effects. Under the identification assumptions, we propose a regression-based method to estimate the mediation effects through multiple mediators while allowing the presence of exposure-mediator interactions. The closed-form expressions of mediation effects are also obtained for three scenarios: multiple continuous mediators, multiple binary mediators, and multiple mixed mediators. We conduct simulation studies to assess the finite sample performance of our new methods and present the biases, standard errors, and confidence intervals to demonstrate that our proposed estimators perform well in a wide range of practical settings. Finally, we apply our proposed methods to assess the mediation effects of candidate DNA methylation CpG sites in the causal pathway from socioeconomic index to body mass index. [ABSTRACT FROM AUTHOR]

The inverse probability of treatment weighting (IPTW) approach is commonly used in propensity score analysis to infer causal effects in regression models. Due to oversized IPTW weights and errors associated with propensity score estimation, the IPTW approach can underestimate the standard error of causal effect. To remediate this, bootstrap standard errors have been recommended to replace the IPTW standard error, but the ordinary bootstrap (OB) procedure might still result in underestimation of the standard error because of its inefficient resampling scheme and untreated oversized weights. In this paper, we develop a generalized bootstrap (GB) procedure for estimating the standard error and confidence intervals of the IPTW approach. Compared with the OB procedure and other three procedures in comparison, the GB procedure has the highest precision and yields conservative standard error estimates. As a result, the GB procedure produces short confidence intervals with highest coverage rates. We demonstrate the effectiveness of the GB procedure via two simulation studies and a dataset from the National Educational Longitudinal Study-1988 (NELS-88). [ABSTRACT FROM AUTHOR]

Performance capability indices are valuable measures to evaluate the quality of a product. In this paper, we consider inference on a lifetime performance index when the product's lifetime follows a gamma distribution with unknown parameters. The bias and mean square error of the maximum likelihood estimator and other proposed estimators are compared. Also, an asymptotic confidence interval using the maximum likelihood estimator, thirteen bootstrap confidence intervals, and four generalized pivotal quantities are derived for the performance capability index. A Monte Carlo simulation is provided to investigate the accuracy of expected lengths and coverage probabilities of the confidence intervals. An actual data set is used to illustrate the estimators and confidence intervals. [ABSTRACT FROM AUTHOR]

The formation of information security behavioural intention (ISBI) can be complex and dynamic in different contexts. This paper aims to examine and compare different users' ISBI formalisation mechanisms when dealing with their personal affairs (non-work users) and organisational affairs (work users). Drawing on two principles of Conservation of Resources (COR) theory (i.e. resource loss principle, and resource gain principle), we developed two models to examine how situational support affects ISBI formation. The results of a study of 432 non-worker users and 261 work users indicate a curvilinear relationship between situational support and ISBI through subjective norms and risk perception for non-worker users, whilst a linear relationship via subjective norms is found for worker users. This is the first time that COR has been applied to explain the formation of ISBI. The findings broaden the research scope of individuals' ISBI by revealing how situational support affects the formalisation mechanism for different users in cross-contexts. The theoretical and practical implications of the findings and the future study are discussed. [ABSTRACT FROM AUTHOR]

Variability introduced into numerical measurements by a measuring instrument is referred to as measurement instrument repeatability. Measurement instrument repeatability estimation methods exist when the measurements are repeatable. However, when measurements are destructive and repeated measurements are not possible, estimating measuring instrument repeatability is difficult since repeatability is confounded with, and usually cannot be separated from item variability. In this paper an estimator for destructive measuring instrument repeatability is obtained from measurements of two different item types, under the assumptions of constant item type measurement coefficient of variation, constant repeatability, and independent and normally distributed measurements. The estimator's variance is also derived, from which a confidence interval for repeatability can be computed. The results add to the body of existing methods that exploit some assumed pattern of item variability, or alternatively make other assumptions needed to estimate measurement instrument repeatability when repeated measurements are unavailable. [ABSTRACT FROM AUTHOR]

With the expansion of the online environment, recently, recommendation systems have become established as an essential element of any online service. Following this trend, the issue of how to present recommended information effectively to users is attracting attention not only in companies but also in the research field. This paper presents a between-subjects study that aimed to elicit whether there is a difference in consumer's attitudes towards the user-centric and content-centric recommendation approaches based on their level of psychological ownership towards the online service. Our findings indicated that users with high psychological ownership toward the online service prefer the user-centric recommendation approach, while users with low psychological ownership prefer the content-centric recommendation approach. [ABSTRACT FROM AUTHOR]

Sexual sensation seeking (SSS) describes an individual's tendency to seek novel and risky sexual stimulation. In research, SSS has been measured through the Sexual Sensation Seeking scale or by examining relevant behaviors such as unprotected sex, multiple sex partners, and unfamiliar unique sex partners. While we know that pornography use and SSS are correlated, the direction of this association is unclear. Using panel data and Bayesian Multi-level Modeling, we examined the direction of the relationship between these two constructs. Using an MTurk.com sample of 312 participants, we collected data on pornography use and SSS once a month for six months. To measure pornography use, we used a newly validated measure that assesses frequency of use, duration per viewing episode, whether pornography exposure was accidental or intentional, and how much arousal the exposure to pornography produced. To measure SSS, we used the Sexual Sensation Seeking Scale but omitted one item about pornography use to reduce the risk of a spurious finding. We observed that SSS and pornography use correlate at baseline, but their prospective predictive power is weak. These findings suggest that while SSS and pornography use tend to co-occur, we do not observe strong evidence that one causes the other. In this paper, we sought to understand whether pornography consumption causes changes in sexual sensation seeking (SSS) or whether higher SSS causes changes in pornography consumption. Although we found no evidence of the latter, we did find evidence to infer that pornography consumption may lead to lower levels of SSS. [ABSTRACT FROM AUTHOR]

Of interest in this paper is the development of a model that uses fixed, then inverse sampling of binary data that is subject to false-positive misclassification in an effort to estimate a proportion. From this model, both the proportion of success and false-positive misclassification rate may be estimated. Also, three first-order likelihood-based confidence intervals for the proportion of success are mathematically derived and studied via a Monte Carlo simulation. The simulation results indicate that the likelihood ratio interval is generally preferable over the Wald and score interval. Lastly, the model is applied to two different real-world medical data sets. [ABSTRACT FROM AUTHOR]

In many statistical analysis, a finite population may contain a large proportion of zero-and-one values that make the population distribution severely skew. Confidence intervals based on a normal approximation (NA) for such data may have low coverage probabilities. In this paper, we apply the methods of jackknife empirical likelihood (JEL) and adjusted jackknife empirical likelihood (AJEL) to discuss the confidence intervals for the mean of zero-and-one inflated population. Asymptotic distributions of the likelihood-type statistics are studied. Simulations are conducted to compare coverage probabilities with other methods under different distributions. Real data is given to illustrate the procedure of proposed methods. [ABSTRACT FROM AUTHOR]

In this paper, we study the empirical likelihood and estimation of parameters of interest in a partially linear varying coefficient model with right censored data. Two cases are considered: censoring is independent of the covariates, and censoring depends on the covariates. The bias-corrected empirical log-likelihood ratios for the regression parameters are presented, Wilks' theorem is proved, and thus the confidence regions of the regression parameters are constructed. The estimators of parametric and nonparametric components are constructed, their asymptotic distributions are obtained, and the consistent estimators of the asymptotic variances are also given. Furthermore, the partial profile empirical log-likelihood ratios for each component of the regression parameters and the coefficient functions are constructed, and show they are asymptotically chi-squared. The obtained results can be directly used to construct the confidence regions/intervals for the regression parameters and the pointwise confidence intervals for the coefficient functions. Our approach is to directly calibrate the empirical log-likelihood ratio so that the resulting ratio is asymptotically chi-squared, undersmoothing of the coefficient functions is avoided, and existing data-driven methods can be effectively used to select the optimal bandwidth. Simulation studies compare the empirical likelihood method with one based on normal approximation and perform real data analysis. [ABSTRACT FROM AUTHOR]

To systematically review literature on nutritional intake, nutritional status and nutritional interventions, and to study their association with short- and long-term clinical outcomes in people with a major dysvascular lower limb amputation. PubMed, Ovid, CINAHL, and The Cochrane Library were searched. Studies were included if nutritional intake, nutritional status, or nutritional interventions in people with a major dysvascular lower limb amputation were analyzed. Of the 3038 unique papers identified, 30 studies were included. Methodological quality was moderate (1 study) or weak (29 studies). Limited information was available on nutritional intake (2 studies) and nutritional interventions (1 study). Nutritional intake and nutritional status were assessed by diverse methods. The percentage of people with a poor nutritional status ranged from 1% to 100%. In some studies, measures of poor nutritional status were associated with adverse short- and long-term clinical outcomes. The percentage of people with a poor nutritional status is inconclusive in the major dysvascular lower limb amputation population, because of the heterogeneity of the assessment methods used. Some included studies reported a negative association between poor nutritional status and clinical outcomes. However, these results should be interpreted with caution, because of the limited quality of the studies available. Studies high in methodological quality and high in hierarchy of evidence are needed. The proportion of people with a poor nutritional status in the major dysvascular lower limb amputation population is inconclusive. Poor nutritional status seems to affect clinical outcomes negatively. More uniformity in assessment of malnutrition in the major dysvascular lower limb amputation population is needed. [ABSTRACT FROM AUTHOR]

The recent advancements in Brain-Computer Interfaces (BCIs) technology made possible for its employment in entertainment applications, such as brain-controlled games. However, there are still many challenges to overcome in the design and development of such applications, especially when considering the interaction between multiple users. This paper presents the results of a controlled experiment aimed at comparing the performance and game experience of both competitive and collaborative matches in a multiplayer BCI game. In the experiment, sixteen subjects were divided in pairs into two groups, and each pair played a total of five competitive or collaborative matches of the attention-based game. Quantitative and qualitative data were collected to investigate key features of the subjects' interaction with both the BCI platform and the other players. It was found that there is no statistically significant difference in performance between the subjects of both groups, and between multiplayer and single player modes. Although the group playing competitively reported overall better scores for game experience, there was no statistically significant difference between groups. There were significant correlations between performance and positive aspects of game experience for both modes, and multiplayer matches were significantly shorter than single player ones, although this effect could not be attributed to the mode of interaction alone. [ABSTRACT FROM AUTHOR]

This paper examines the relationship between child labour and educational attainment and explores the distinction between harmful and non-harmful agricultural cocoa work. We conduct a secondary analysis of data on 3,338 children who reported attending school in 2018 across cocoa growing regions of Ghana and Côte d’Ivoire. To address differences between harmful and non-harmful child labour, we differentiated work completed by a child by hazardous activity engagement. These groups of child labour were then modelled against educational attainment, defined by a whether or not the child needed to repeat a class. We then conducted mediation analysis to assess whether injury mediates this relationship. Our results show that hazardous child labour increases the odds of repeating a class and work-related injury compared to non-hazardous labour. The effect of hazardous child labour on academic attainment was also found to be mediated by work-related injuries by 14%. Educational attainment is associated with hazardous labour activities and the odds of injury and not the act of participation in agricultural labour alone. Programmes based on strong measures of harmful work will foster better protection for children who are most at risk and may inform global debates around the benefits versus the risks of child labour. [ABSTRACT FROM AUTHOR]

Fractals are widely used in different fields of science. The main characteristic of a fractal set is its fractal dimensions. The presented work addresses the accuracy of estimation of the correlation fractal dimension D2 and corresponding confidence interval. For example, in geosciences D2 is applied for characterizing surfaces or the spatial distribution of fracture systems. Two qualitatively different problems are studied. The first problem is related to the analysis of the fractal sets assigned on regular grids. The fractals consisting of a family of irregular points are considered in the second problem. The Monte Carlo method is proposed to estimate the confidence intervals of correlation fractal dimension for the first problem. This approach is based on the statistical generation of the fractal sets realizations with a given D2. Numerical testing using synthetic models showed the reliability of this method. A comparison with PBM and BCA bootstrap methods is performed. The paper also investigates the accuracy of the D2 and the corresponding confidence intervals estimate for the second studied problem. An algorithm employing the jackknife method is suggested. Its accuracy has been studied and proved numerically. [ABSTRACT FROM AUTHOR]