BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard
BayesFBHborrow:基于灵活基线风险的生存数据贝叶斯信息借用 R 包
Statistical methods that leverage external trial information to help accelerate drug development are becoming increasingly popular. Bayesian methods facilitate dynamic borrowing, where the similarity of the response guides how much information is used. We have proposed a semiparametric Bayesian borrowing model for time-to-event data, with smoothing priors that allows the baseline hazard to take any form via an ensemble average. By accurately modelling the baseline hazard,…