Sensitivity Analysis
Everything on Aqrab tagged Sensitivity Analysis — grouped into one landing page so readers can go deeper by problem family instead of bouncing around the archive blind.
Specification Curve Analysis: When One Model Hides a Vibration of Effects
A practical guide to specification curve analysis in clinical research. Learn how to define reasonable analyses, separate robustness checks from estimand changes, and audit results that move across defensible choices.
Quantitative Bias Analysis: When “Residual Confounding” Needs a Number, Not a Shrug
A practical guide to quantitative bias analysis for clinical researchers. Covers simple bias factors, plausible unmeasured confounding scenarios, and what reviewers should demand before trusting a causal claim that survives only because nobody quantified the threat.
MNAR Sensitivity Analysis: Because “We Assumed MAR” Is Not a Results Section
A practical guide to MNAR sensitivity analysis for clinical researchers. Covers when multiple imputation under MAR is not enough, how to think about missing not at random assumptions, and what reviewers should demand before trusting complete-case comfort.
E-values & Sensitivity Analysis: How to Stress-Test Causal Claims
A practical guide to the one question every observational study must answer: how strong would an unmeasured confounder have to be to erase your result? Covers E-values, confidence-limit interpretation, Rosenbaum bounds, negative controls, and the reporting language reviewers trust.
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