Description
Multiple Imputation for Missing Covariates in Time-to-Event Data.
Description
Generates multiple imputed datasets from a substantive model compatible fully conditional specification model for time-to-event data. Our method assumes that the censoring process also depends on the covariates with missing values. Details will be available in an upcoming publication.