Survival Analysis
Everything on Aqrab tagged Survival Analysis — grouped into one landing page so readers can go deeper by problem family instead of bouncing around the archive blind.
The Hazard-Ratio Autopsy: When Delayed Effects Make One Number Misleading
A practical trial autopsy for non-proportional hazards. Read the curves, risk sets, landmarks, and restricted mean survival time before translating one hazard ratio into a constant treatment effect.
Delayed Entry in Survival Analysis: Why Nobody Is at Risk Before They Enter
A practical guide to left truncation in clinical survival analysis. Align the origin, entry time, event time, and risk set before interpreting Kaplan–Meier curves or Cox models from prevalent cohorts.
Recurrent Events in Clinical Trials: When Time to First Event Hides Disease Burden
A practical guide to recurrent-event analysis in clinical trials. Learn when time to first event discards patient burden, how death changes the estimand, and what reviewers should demand.
Interval Censoring: When the Visit Date Pretends to Be the Event Date
A practical interval censoring guide for clinical researchers. Learn why periodic assessments create event-time windows, how naive date substitution manufactures precision, and what reviewers should demand before trusting time-to-event claims.
Multi-State Models: When One Time-to-Event Endpoint Hides the Clinical Path
A practical multi-state models guide for clinical researchers. Learn how state occupation, transition hazards, and time in state reveal clinical paths hidden by one survival endpoint.
Nonproportional Hazards: When One Hazard Ratio Pretends the Treatment Effect Never Changes
A practical guide to nonproportional hazards for clinical researchers. Covers delayed effects, crossing curves, waning benefit, why one hazard ratio can mislead, and what reviewers should demand instead.
When Death Changes the Question: Competing Risks, Intercurrent Events, and Truncation by Death
A practical guide to the boundary between competing risks, intercurrent events, and truncation by death for clinical researchers. Covers when death changes risk sets, when it makes later outcomes undefined, and what reviewers should demand instead of vague censoring language.
Restricted Mean Survival Time: When Hazard Ratios Are Not the Clinical Answer
A practical guide to restricted mean survival time for clinical researchers. Covers what RMST estimates, when it beats the hazard ratio, how to choose the time horizon, and how to report results clinicians can actually interpret.
Landmark Analysis: Useful, Honest, and Frequently Overclaimed
A practical guide to landmark analysis for clinical researchers. Covers delayed treatment, immortal time bias, conditional survivor populations, landmark selection, and why a cleaner timeline still changes the causal question.
Informative Censoring: When Dropout Is Part of the Bias
A practical guide to informative censoring for clinical researchers. Covers loss to follow-up, treatment discontinuation, database exit, inverse probability of censoring weights, and why dropout can bias survival and causal estimates when it depends on prognosis.
Competing Risks: When Kaplan-Meier Tells the Wrong Clinical Story
A practical guide to competing risks for clinical researchers. Covers death and discharge as competing events, why Kaplan-Meier can overstate event probability, and how cause-specific hazards and cumulative incidence answer different clinical questions.
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