Predicting the restricted mean event time with the subject's baseline covariates in survival analysis.

ABSTRACT: For designing, monitoring, and analyzing a longitudinal study with an event time as the outcome variable, the restricted mean event time (RMET) is an easily interpretable, clinically meaningful summary of the survival function in the presence of censoring. The RMET is the average of all potential event times measured up to a time point τ and can be estimated consistently by the area under the Kaplan-Meier curve over $[0, \tau ]$. In this paper, we study a class of regression models, which directly relates the RMET to its "baseline" covariates for predicting the future subjects' RMETs. Since the standard Cox and the accelerated failure time models can also be used for estimating such RMETs, we utilize a cross-validation procedure to select the "best" among all the working models considered

SUBMITTER: Tian L 

PROVIDER: S-EPMC3944973 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature