Titlebook: Bayesian Survival Analysis; Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti Sinha Book 2001 Springer Science+Business Media New York 2001 Bayesi

Pessary

Cure Rate Models,e most popular type of cure rate model is the mixture model discussed by Berkson and Gage (1952). In this model, we assume a certain fraction π of the population is “cured,” and the remaining 1 – π are not cured.

安装

nurture

thrombosis

民间传说

马赛克

含沙射影

Joint Models for Longitudinal and Survival Data,tant because they may be predictive of survival. Therefore methods which can model both the longitudinal and the survival components jointly are becoming increasingly essential in most cancer and AIDS clinical trials.

有斑点

Design and Monitoring of Randomized Clinical Trials,7), Pham-Gia (1997), Simon (1999), Simon and Freedman (1997), Weiss (1997), Bernardo and Ibrahim (2000), and Lee and Zelen (2000). In this chapter, we will review some of the basic approaches to the Bayesian design and monitoring of randomized trials as well as compare the Bayesian and frequentist approaches.

ingestion

湿润