SurvImpute: Multiple Imputation for Missing Covariates in Time-to-Event Data
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.
Version: |
0.1.0 |
Imports: |
survival, VGAM, MASS |
Suggests: |
mitools |
Published: |
2025-01-31 |
Author: |
Qinghua Lian [aut, cre, cph],
Soyoung Kim [aut],
Michael J. Martens [aut],
Kwang Woo Ahn [aut] |
Maintainer: |
Qinghua Lian <qlian at mcw.edu> |
License: |
GPL-3 |
NeedsCompilation: |
no |
CRAN checks: |
SurvImpute results |
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