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.
- Version0.1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release04/17/2022
Documentation
Team
Yizhuo Wang
Ziyi Li
Show author detailsRolesAuthorXuelin Huang
Show author detailsRolesAuthorChristopher Flowers
Show author detailsRolesContributor
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