Proportional Hazards Regression Using Bayesian Kernel Machines
Arnab Maity, Bani K. Mallick · 2010
Arnab Maity and Bani K. Mallick Dept. of Statistics, Texas A&M University, College Station, TX 77843-3143, U.S.A. One of the main goals of survival analysis is to predict patient survival from the available medical information. In general, suppose T denotes a lifetime or time to certain event of interest and a set of covariates or risk factors denoted by x of dimension p× 1 are available. We develop survival distribution which aids to predict the survival time of a new patient with covariates xnew.