Applying hierarchical bayesian modeling to experimental psychopathology data: An introduction and tutorial.

ABSTRACT: Over the past 2 decades Bayesian methods have been gaining popularity in many scientific disciplines. However, to this date, they are rarely part of formal graduate statistical training in clinical science. Although Bayesian methods can be an attractive alternative to classical methods for answering certain research questions, they involve a heavy "overhead" (e.g., advanced mathematical methods, complex computations), which pose significant barriers to researchers interested in adding Bayesian methods to their statistical toolbox. To increase the accessibility of Bayesian methods for psychopathology researchers, this article presents a gentle introduction of the Bayesian inference framework and a tutorial on implementation. We first provide a primer on the key concepts of Bayesian inferenc

SUBMITTER: Tso IF 

PROVIDER: S-EPMC8634778 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature