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From Unpowered to Actionable: A Bayesian Framework for Evaluating Micro-Cohorts in Graduate Medical Education

2025-11-22

Abstract excerpt

<h4>Background</h4> Graduate Medical Education (GME) programs frequently generate crucial evaluative micro-data from small programmatic cohorts. Traditional frequentist statistics often discard these datasets as “underpowered,” leaving critical curricular gaps undetected. This study demonstrates how Bayesian inference can rescue small-sample educational data to extract robust pedagogical signals. <h4>Methods</h4>...

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Literature Corpus work
628d0506-c1ca-5fad-b0e5-5fe97082e114
DOI
10.1101/2025.11.21.25340770
Open publication

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