yizhuo-wang/CondiS: Censored data imputation for direct modeling

Impute the survival times for censored observations based on their conditional survival distributions derived from the Kaplan-Meier estimator. CondiS can replace the censored observations with the best approximations from the statistical model, allowing for direct application of machine learning-based methods. When covariates are available, CondiS is extended by incorporating the covariate information through machine learning-based regression modeling (CondiS-X), which can further improve the imputed survival time.

Getting started

Package details

AuthorYizhuo Wang, Xuelin Huang, Ziyi Li and Christopher R. Flowers
MaintainerYizhuo Wang <ywang70@mdanderson.org>
LicenseGPL-2
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("yizhuo-wang/CondiS")
yizhuo-wang/CondiS documentation built on Dec. 24, 2021, 1:19 a.m.