Longitudinal Data
Everything on Aqrab tagged Longitudinal Data — grouped into one landing page so readers can go deeper by problem family instead of bouncing around the archive blind.
Time-Varying Confounding: When Yesterday's Treatment Changes Today's Confounder
A practical guide to time-varying confounding for clinical researchers. Covers treatment-confounder feedback, why ordinary regression fails, and how MSMs, g-methods, and target trial logic handle evolving treatment decisions.
Parametric G-Formula: Estimating Causal Effects When Covariates Change Over Time
A practical guide to the parametric g-formula for clinical researchers. Covers time-varying confounding, dynamic treatment strategies, longitudinal simulation, model diagnostics, and why ordinary regression breaks when covariates are changed by prior treatment.
G-Estimation: The Causal Method You Reach For When Time-Varying Confounding Breaks Regression
A practical guide to g-estimation and structural nested models for clinical researchers. Covers treatment-confounder feedback, blipped-down outcomes, identifying assumptions, and when g-estimation beats naive longitudinal regression or unstable weights.
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