Evaluating scientific evidence and claims. Covers study design hierarchy (RCT to expert opinion), effect sizes (OR, RR, NNT, Cohen's d), confounding, p-value vs clinical significance, GRADE quality assessment, reproducibility, and bias types (selection, information, confounding, reporting). Use when reading a paper or assessing claims.
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Scientific Critical Thinking: Evaluating Evidence and Claims
Overview
Scientific critical thinking is the disciplined application of logical and methodological standards to evaluate whether a study's design, analysis, and interpretation support its conclusions. It is the skill that separates a researcher who synthesizes evidence from one who accumulates it. This guide covers the hierarchy of evidence, the mechanics of common biases, effect size interpretation, the p-value controversy, GRA
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