A5009913795- Mental Health Research Topics
- Transcranial Magnetic Stimulation Studies
- Psychometric Methodologies and Testing
- Media Influence and Politics
- Electroconvulsive Therapy Studies
- Data Analysis with R
- Scientific Computing and Data Management
- Advanced Statistical Modeling Techniques
- Ethics in medical practice
- Identity, Memory, and Therapy
- Migration, Health and Trauma
- Immune Cell Function and Interaction
- Psychological and Educational Research Studies
- Treatment of Major Depression
- Dementia and Cognitive Impairment Research
- HIV Research and Treatment
- Autophagy in Disease and Therapy
- Functional Brain Connectivity Studies
- Racial and Ethnic Identity Research
- Meta-analysis and systematic reviews
- Pain Management and Treatment
- Memory Processes and Influences
- Blood Pressure and Hypertension Studies
- Social and Intergroup Psychology
University of California, Los Angeles
2020-2024
The bias-corrected bootstrap confidence interval (BCBCI) was once the method of choice for conducting inference on indirect effect in mediation analysis due to its high power small samples, but now it is criticized by methodologists inflated type I error rates. In place, percentile (PBCI), which does not adjust bias, currently recommended inferential effects. This study proposes two alternative methods creating intervals around effect: one originally used Stine (1989) with correlation...
A hallmark of HIV-1 infection is chronic inflammation, even in patients treated with antiretroviral therapy (ART). Chronic inflammation drives pathogenesis, leading to loss CD4+ T cells and exhaustion antiviral immunity. Therefore, strategies safely reduce systematic are needed halt disease progression restore defective immune responses. Autophagy a cellular mechanism for disposal damaged organelles elimination intracellular pathogens. pivotal energy homeostasis plays critical roles...
Results of simulation studies evaluating the performance statistical methods can have a major impact on way empirical research is implemented. However, so far there limited evidence replicability studies. Eight highly cited were selected, and their was assessed by teams replicators with formal training in quantitative methodology. The used information original publications to write code aim replicating results. primary outcome determine feasibility based reported supplementary materials....
Clinical outcomes of repetitive transcranial magnetic stimulation (rTMS) for treatment treatment-resistant depression (TRD) vary widely and there is no mood rating scale that standard assessing rTMS outcome. It remains unclear whether TMS as efficacious in older adults with late-life (LLD) compared to younger major depressive disorder (MDD). This study examined the effect age on TRD. Self-report observer ratings were measured weekly 687 subjects ages 16–100 years undergoing using Inventory...
Machine learning methods are being increasingly adopted in behavioral research. Lasso regression performs variable selection and regularization, is particularly appealing to researchers because of its connection linear regression. Researchers may expect properties translate lasso, but we demonstrate that this assumption problematic for models with categorical predictors. Specifically, while the coding strategy used predictors does not impact performance regression, it lasso’s performance....
Effective practices for eliciting and analyzing children's eyewitness reports rely on accurate conclusions about age differences in how children retain information respond to memory probes. Binning, which is the practice of categorizing continuous variables into discrete groups, can lower studies' power detect and, some situations, produce significant but spurious effects. In this article, we (a) describe a systematic review that estimated frequency binning child studies, (b) analyze real...
Results of simulation studies evaluating the performance statistical methods are often considered actionable and thus can have a major impact on way empirical research is implemented. However, so far there limited evidence about reproducibility replicability studies. Therefore, eight highly cited were selected, their was assessed by teams replicators with formal training in quantitative methodology. The found relevant information original publications used it to write code aim replicating...
Machine learning methods are being increasingly adopted in behavioral research. Lasso regression performs variable selection and regularization, is particularly appealing to researchers because of its connection linear regression. Researchers may expect properties translate lasso, but we demonstrate that this assumption problematic for models with categorical predictors. Specifically, while the coding strategy used predictors does not impact performance regression, it lasso’s performance....
Little is known about how exclusionary immigration laws affect ethnic identity and self-esteem among Latinx middle school students. Arizona's SB 1070, which required local officers to verify the legal status of detained individuals, garnered national attention for its impact on immigrant communities. This study tested a longitudinal parallel multiple mediation model where perceptions effects an law (Arizona's 1070) were mediated by dimensions (ethnic centrality, private regard, public...
Abstract Background Education level is a well‐recognized co‐factor for cognitive performance and potential confounder in the application of evaluations diverse populations. The Montreal Cognitive Assessment (MoCA) widely utilized screening tool Mild Impairment (MCI) composed 6 domains cognition: Executive Function (EFC), Attention Concentration (AC), Language (LANG), Visuospatial (VIS), Memory (MEM), Orientation (ORIEN). currently accounted globally by adding 1 point to total MoCA score....
The bias-corrected bootstrap confidence interval (BCBCI) was once the method of choice for conducting inference on indirect effect in mediation analysis due to its high power small samples, but now it is criticized by methodologists inflated type I error rates. In place, percentile (PBCI), which does not adjust bias, currently recommended inferential effects. This study proposes two alternative methods creating intervals around effect. Using a Monte Carlo simulation, these were compared...