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SurvImpute  

Multiple Imputation for Missing Covariates in Time-to-Event Data
View on CRAN: Click here


Download and install SurvImpute package within the R console
Install from CRAN:
install.packages("SurvImpute")

Install from Github:
library("remotes")
install_github("cran/SurvImpute")

Install by package version:
library("remotes")
install_version("SurvImpute", "0.1.0")



Attach the package and use:
library("SurvImpute")
Maintained by
Qinghua Lian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-31
Latest Update: 2025-01-31
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.
How to cite:
Qinghua Lian (2025). SurvImpute: Multiple Imputation for Missing Covariates in Time-to-Event Data. R package version 0.1.0, https://cran.r-project.org/web/packages/SurvImpute. Accessed 14 Mar. 2026.
Previous versions and publish date:
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