Generalized Promotion Time Cure Model with Bayesian Shrinkage Priors
Extract the posterior estimate of parameters
GPTCM: Generalized Promotion Time Cure Model with Bayesian Shrinkage P...
Fit Bayesian GPTCM Models
Metropolis sampler for a target density
Plot curves of time-dependent Brier score
Plot posterior estimates of regression coefficients
MCMC trace-plots
Prediction of survival probability
Main function implemented in C++ for the MCMC loop
Simulate data
Target density
Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) <doi:10.48550/arXiv.2509.01001>). The Bayesian GPTCMs are applicable for both low- and high-dimensional data.