ArticleAdvances in methods and practices in psychological science2020
Improving Practices for Selecting a Subset of Important Predictors in Psychology: An Application to Predicting Pain.
Article in Advances in methods and practices in psychological science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 41 citations in OpenAlex.
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- Resilience among adults with chronic urologic pelvic pain syndrome: A flexible self-regulation perspective.The journal of pain · 2025Article
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- Factors associated with meningitis vaccine awareness and engagement among Latino men who have sex with men in South Florida.Journal of behavioral medicine · 2024Article
- Neural and psychological correlates of post-traumatic stress symptoms in a community adult sample.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Separating Behaviours and Adverse Consequences in the Problem Gambling Severity Index (PGSI): A Confirmatory Factor Analysis and Rasch Analysis.Journal of gambling studies · 2023Article
- Factors Associated with Antiretroviral Therapy Adherence Among a Community-Based Sample of Sexual Minority Older Adults with HIV.AIDS and behavior · 2023Article
- Modality-specific associations between sensory differences and autistic traits.Autism : the international journal of research and practice · 2023Article
- Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology.Psychometrika · 2023Review
- Engaging Latino sexual minority men in PrEP and behavioral health care: multilevel barriers, facilitators, and potential implementation strategies.Journal of behavioral medicine · 2023Article
- Factors Associated with Post-Exposure Prophylaxis Awareness Among Latino Sexual Minority Men in South Florida.AIDS patient care and STDs · 2022Article
- Factors associated with barriers to engagement in HIV-prevention care among sexual minority men.Journal of behavioral medicine · 2021Article
- Syndemics and salivary inflammation in people living with HIV/AIDS.Psychology & health · 2021Article
- Future directions in personality pathology development research from a trainee perspective: Suggestions for theory, methodology, and practice.Current opinion in psychology · 2021Review
- Examining the Relationship Between the Use of a Mobile Peer-Support App and Self-Injury Outcomes: Longitudinal Mixed Methods Study.JMIR mental health · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Frequently, researchers in psychology are faced with the challenge of narrowing down a large set of predictors to a smaller subset. There are a variety of ways to do this, but commonly it is done by choosing predictors with the strongest bivariate correlations with the outcome. However, when predictors are correlated, bivariate relationships may not translate into multivariate relationships. Further, any attempts to control for multiple testing are likely to result in extremely low power. Here we introduce a Bayesian variable-selection procedure frequently used in other disciplines, stochastic search variable selection (SSVS). We apply this technique to choosing the best set of predictors of the perceived unpleasantness of an experimental pain stimulus from among a large group of sociocultural, psychological, and neurobiological (functional MRI) individual-difference measures. Using SSVS provides information about which variables predict the outcome, controlling for uncertainty in the other variables of the model. This approach yields new, useful information to guide the choice of relevant predictors. We have provided Web-based open-source software for performing SSVS and visualizing the results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.