Abstract
A new Bayesian estimation procedure for extended cox model with time varying covariate was presented. The prior was determined using bootstrapping technique within the framework of parametric empirical Bayes. The efficiency of the proposed method was observed using Monte Carlo simulation of extended Cox model with time varying covariates under varying scenarios. Validity of the proposed method was also ascertained using real life data set of Stanford heart transplant. Comparison of the proposed method with its competitor established appreciable supremacy of the method.
DOI
10.22237/jmasm/1604188980
Recommended Citation
Olaniran, O. R., & Abdullah, M. A. A. (2019). Bayesian analysis of extended Cox model with time-varying covariates using bootstrap prior. Journal of Modern Applied Statistical Methods, 18(2), eP2694. doi: 10.22237/jmasm/1604188980
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