Change point estimation in monitoring survival time: credible intervals for step change point model parameters

The dataset was collected to model change point estimation in time-to-event data for a clinical process with dichotomous outcomes, death and survival, where patient mix was present. Modelling was completed using a Bayesian framework. The performance of the Bayesian estimators was investigated through simulation in conjunction with RAST CUSUM control charts for monitoring right censored survival time of patients who underwent cardiac surgery procedures within a follow-up period of 30 days.

The dataset presents the credible intervals for step change point model parameters ( and ) following signals (RL) from RAST CUSUM () where and .

本数据集旨在对临床过程中具有二分结果（死亡与存活）的时间至事件数据中的变化点估计进行建模，其中存在患者混合情况。建模过程采用贝叶斯框架完成。通过模拟研究贝叶斯估计器的性能，并结合RAST CUSUM控制图对患者在30天随访期内接受心脏手术手术的右端截尾生存时间进行监测。数据集展示了在RAST CUSUM（(RL)）信号之后，步进变化点模型参数（( heta) 和 (eta)）的置信区间。