Anaes SAQs · Measurement & monitoring physics
Bias and confounding in clinical research
Primary — bias as systematic error distinct from random error/chance; five bias types (selection, performance, detection, attrition, reporting) each with its defence; confounder definition (associated with both exposure and outcome, not on the causal pathway); confounding versus effect modification; design-phase control (randomisation the only method covering unknown confounders, restriction, matching, stratification); analysis-phase control (multivariable regression, propensity-score matching); residual confounding and why RCTs sit atop the hierarchy.
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Define bias and distinguish it from random error. Outline the principal types of bias, the methods used to minimise each, and the design- and analysis-phase methods used to control confounding.
References5ShowHide
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