Estimation of Heterogeneous Restricted Mean Survival Time Using Random Forest.

ABSTRACT: Estimation and prediction of heterogeneous restricted mean survival time (hRMST) is of great clinical importance, which can provide an easily interpretable and clinically meaningful summary of the survival function in the presence of censoring and individual covariates. The existing methods for the modeling of hRMST rely on proportional hazards or other parametric assumptions on the survival distribution. In this paper, we propose a random forest based estimation of hRMST for right-censored survival data with covariates and prove a central limit theorem for the resulting estimator. In addition, we present a computationally efficient construction for the confidence interval of hRMST. Our simulations show that the resulting confidence intervals have the correct coverage probability of the hR

SUBMITTER: Liu M 

PROVIDER: S-EPMC7873855 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature