Restricted Mean Survival Time Estimation Using Bayesian Nonparametric Dependent Mixture Models
利用贝叶斯非参数依赖混合模型估计限制平均生存时间
Restricted mean survival time (RMST) is an intuitive summary statistic for time-to-event random variables, and can be used for measuring treatment effects. Compared to hazard ratio, its estimation procedure is robust against the non-proportional hazards assumption. We propose nonparametric Bayeisan (BNP) estimators for RMST using a dependent stick-breaking process prior mixture model that adjusts for mixed-type covariates. The proposed Bayesian estimators can yield both…