CondiS_X

The imputed follow up time for right-censored data.

pred_time

The censoring indicator, normally 0=right censored, 1=event at time.

status

The additional patient data that is presumably associated with the survival time.

covariates

Choose from 8 machine learning algorithms; the default is "glm".

method

This function allows you to improve the imputed survival time by incorporating covariate information.

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.

CondiS_X: CondiS-X Function

Description

Usage

Arguments