Topic: Survival and Time-Varying Data

Why Last Observation Carried Forward Fails in Survival Data

Using Cumulative Hazard in Covariate Imputation Models

Truncated Event-Time Draws Under Parametric Survival Models

Survival Records for Chained-Equation Imputation

The Cumulative Hazard as a Survival Summary

Splitting Follow-Up Into Imputation Intervals

Start-Stop Data for Time-Varying Covariates in Multiple Imputation

Representing Competing Events in Imputation Data

Risk Sets and Their Role in Survival Imputation

Preserving Within-Person Change in Longitudinal Imputations