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Few prior studies have examined the extent to which the behavior and characteristics of political extremists are related to their position within radical groups. In this paper we concentrate on one of the most fundamental distinctions in groups: That between leaders and followers. Our main goal is to investigate the comparative propensity of leaders and followers to engage in political violence. In a sample of individuals who have committed ideologically motivated political crimes in the United States (N = 1,331). we found that even though leaders were more ideologically committed to the group's goals and ideologies, they were at the same time less likely to engage in violent acts. Moreover, we found that leaders in radical criminal organizations shared many characteristics with leaders in noncriminal organizations. Specifically, in comparison to followers, they were more often male, older, and they were more likely to belong to an ethnic majority. We consider implications for future research and policy of the fundamental conclusion that compared to leaders, followers in terrorist organizations are more likely to engage in violent acts. [ABSTRACT FROM AUTHOR]

Mediation analysis allows the examination of effects of a third variable in the pathway between an exposure and an outcome. The general multiple mediation analysis method, proposed by Yu et al, improves traditional methods (eg, estimation of natural and controlled direct effects) to enable consideration of multiple mediators/confounders simultaneously and the use of linear and nonlinear predictive models for estimating mediation/confounding effects. In this paper, we extend the method for time-to-event outcomes and apply the method to explore the racial disparity in breast cancer survivals. Breast cancer is the most common cancer and the second leading cause of cancer death among women of all races. Despite improvement of survival rates of breast cancer in the US, a significant difference between white and black women remains. Previous studies have found that more advanced and aggressive tumors and less than optimal treatment may explain the lower survival rates for black women as compared to white women. Due to limitations of current analytic methods and the lack of comprehensive data sets, researchers have not been able to differentiate the relative effect each factor contributes to the overall racial disparity. We use the CDC-funded Patterns of Care study to examine the determinants of racial disparities in breast cancer survival using a novel multiple mediation analysis. Using the proposed method, we applied the Cox hazard model and multiple additive regression trees as predictive models and found that all racial disparity in survival among Louisiana breast cancer patients were explained by factors included in the study. [ABSTRACT FROM AUTHOR]

This paper presents longitudinal data representing federal funding for health services research and discusses the observed trends in the larger context of overall funding for research and development in the United States. By putting into context public and private funding trends, the authors examine how these trends effect the supply and demand of the health services research workforce. [ABSTRACT FROM AUTHOR]

Objectives: To explore (1) differences in validity and feasibility ratings for geriatric surgical standards across a diverse stakeholder group (surgeons vs. nonsurgeons, health care providers vs. nonproviders, including patient-family, advocacy, and regulatory agencies); (2) whether three multidisciplinary discussion subgroups would reach similar conclusions.Data Source/study Setting: Primary data (ratings) were reported from 58 stakeholder organizations.Study Design: An adaptation of the RAND-UCLA Appropriateness Methodology (RAM) process was conducted in May 2016.Data Collection/extraction Methods: Stakeholders self-administered ratings on paper, returned via mail (Round 1) and in-person (Round 2).Principal Findings: In Round 1, surgeons rated standards more critically (91.2 percent valid; 64.9 percent feasible) than nonsurgeons (100 percent valid; 87.0 percent feasible) but increased ratings in Round 2 (98.7 percent valid; 90.6 percent feasible), aligning with nonsurgeons (99.7 percent valid; 96.1 percent feasible). Three parallel subgroups rated validity at 96.8 percent (group 1), 100 percent (group 2), and 97.4 percent (group 3). Feasibility ratings were 76.9 percent (group 1), 96.1 percent (group 2), and 92.2 percent (group 3).Conclusions: There are differences in validity and feasibility ratings by health professions, with surgeons rating standards more critically than nonsurgeons. However, three separate discussion subgroups rated a high proportion (96-100 percent) of standards as valid, indicating the RAM can be successfully applied to a large stakeholder group. [ABSTRACT FROM AUTHOR]

Drug-drug interactions (DDIs) are a common cause of adverse drug events (ADEs). The electronic medical record (EMR) database and the FDA's adverse event reporting system (FAERS) database are the major data sources for mining and testing the ADE associated DDI signals. Most DDI data mining methods focus on pair-wise drug interactions, and methods to detect high-dimensional DDIs in medical databases are lacking. In this paper, we propose 2 novel mixture drug-count response models for detecting high-dimensional drug combinations that induce myopathy. The "count" indicates the number of drugs in a combination. One model is called fixed probability mixture drug-count response model with a maximum risk threshold (FMDRM-MRT). The other model is called count-dependent probability mixture drug-count response model with a maximum risk threshold (CMDRM-MRT), in which the mixture probability is count dependent. Compared with the previous mixture drug-count response model (MDRM) developed by our group, these 2 new models show a better likelihood in detecting high-dimensional drug combinatory effects on myopathy. CMDRM-MRT identified and validated (54; 374; 637; 442; 131) 2-way to 6-way drug interactions, respectively, which induce myopathy in both EMR and FAERS databases. We further demonstrate FAERS data capture much higher maximum myopathy risk than EMR data do. The consistency of 2 mixture models' parameters and local false discovery rate estimates are evaluated through statistical simulation studies. [ABSTRACT FROM AUTHOR]

Home hemodialysis (HD) was first introduced in the 1960s with a rapid increase in its use due to inability of dialysis units to accommodate patient demand. A sharp decline was subsequently seen with expanding outpatient dialysis facilities and changes in reimbursement policies. In the last decade, with emerging reports of benefits with home HD and more user-friendly equipment, there has been resurgence in home HD. However, home HD remains underutilized with considerable variations between and within countries. This paper will review the history of home HD, elaborate on its established benefits, identify some of the barriers in uptake of this modality and expand on potential strategies to overcome these barriers. [ABSTRACT FROM AUTHOR]

In this study, we sought to evaluate a modification of the Michigan Alcohol Screening Test designed to include problems associated with other drug abuse/dependence besides alcohol. Scores of the lifetime Michigan Assessment-Screening Test/Alcohol-Drug (MAST/AD) were compared to other lifetime measures of substance abuse and dependence and to psychiatric scales reflecting current or recent symptoms. Two university medical centers with alcohol-drug programs located within departments of psychiatry hosted 520 patients with alcohol-drug-related diagnoses. Patients completed their own MAST/AD using a paper-and-pencil format. Based on interviews with the patient, a research associate rated the patients' substance-related problems on the Minnesota Substance Abuse Problem Scale (M-SAPS) and obtained information on lifetime treatment for substance abuse. An addictions psychiatrist determined abuse or dependence and made a current diagnosis of alcohol abuse/dependence only, drug abuse/dependence only, and alcohol plus drug abuse/dependence. The MAST/AD was highly correlated with the M-SAPS and several other measures of substance abuse morbidity. Patients with alcohol-only and drug-only diagnoses did not differ from one another on the MAST/AD, although both groups had lower scores than those with alcohol plus drug diagnoses. Current psychosocial morbidity as assessed by the patient and the psychiatrist was associated with the MAST/AD, although less strongly than with lifetime substance abuse measures. The lifetime MAST/AD demonstrates reliability as a severity measure for alcohol and/or drug abuse. With minor modification, this standard measure can be expanded from alcohol diagnoses to all substance diagnoses. This study in a clinical population did not demonstrate its utility as a screening instrument; additional work is needed to reveal its utility for this purpose. [ABSTRACT FROM AUTHOR]