Clinical Epidemiology
Everything on Aqrab tagged Clinical Epidemiology — grouped into one landing page so readers can go deeper by problem family instead of bouncing around the archive blind.
Healthy Adherer Bias: When Persistence Looks Like Pharmacology
A practical guide to healthy adherer bias for clinical researchers. Covers why adherent patients often look healthier before the treatment effect is even estimated, how this differs from confounding by indication, and what reviewers should demand before trusting adherence-based benefit claims.
Index Event Bias: When Your Cohort Already Selected the Wrong Comparison
A practical guide to index event bias for clinical researchers. Covers recurrence-risk paradoxes, conditioning on the first event, secondary prevention cohorts, and what reviewers should demand before trusting protective-looking associations inside diseased cohorts.
Surveillance Bias: When One Group Gets More Chances to Become a Case
A practical guide to surveillance bias for clinical researchers. Covers differential testing, follow-up intensity, diagnosis-based outcomes, and what reviewers should demand before trusting higher event rates.
Overdiagnosis: When Finding More Disease Does Not Mean Saving More Lives
A practical guide to overdiagnosis for clinical researchers. Covers how screening can raise incidence and improve survival statistics without reducing mortality, how to separate lead-time from true overdiagnosis, and what reviewers should demand before trusting the headline.
Lead-Time Bias: When Earlier Diagnosis Pretends to Be Better Survival
A practical guide to lead-time bias for clinical researchers. Covers why screening can improve survival statistics without reducing mortality, how to separate earlier detection from real benefit, and what reviewers should demand before trusting the headline.
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.
Subgroup Analysis: When “Personalized” Findings Are Mostly Multiplicity Wearing a Stethoscope
A practical guide to subgroup analysis for clinical researchers. Covers interaction testing, multiplicity, power failure, post hoc storytelling, and what reviewers should demand before trusting treatment-effect heterogeneity claims.
Noncollapsibility of Odds Ratios: Why Adjustment Can Change the Number Even When Confounding Did Not
A practical guide to noncollapsibility of odds ratios for clinical researchers. Covers why crude and adjusted odds ratios can differ without confounding, when logistic regression invites over-interpretation, and what reviewers should demand instead.
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