Authors:
(1) Yueqi Shen, Department of Biostatistics, University of North Carolina at Chapel Hill ([email protected]);
(2) Matthew A. Psioda, GSK;
(3) Joseph G. Ibrahim, Department of Biostatistics, University of North Carolina at Chapel Hill.
Table of Links
Abstract and 1 Introduction: BayesPPDSurv
2 Theoretical Framework
2.1 The Power Prior and the Normalized Power Prior
2.2 The Piecewise Constant Hazard Proportional Hazards (PWCH-PH) Model
2.3 Power Prior for the PWCH-PH Model
2.4 Implementing the Normalized Power Prior for the PWCH-PH Model
2.5 Bayesian Sample Size Determination
2.6 Data Simulation for the PWCH-PH Model
4 Case Study: Melanoma Clinical Trial Design
2.2 The Piecewise Constant Hazard Proportional Hazards (PWCH-PH) Model
In BayesPPDSurv, we implement the stratified proportional hazards model with piecewise constant baseline hazard within each stratum, which is a common approach for Bayesian analysis of time-to-event data (Ibrahim et al., 2001).
This paper is
