Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function

Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2026) , and a paper focused on the software is in Scott, Axillus, Lewin and Izmirlian (2026) .

Package: BayesFBHborrow

• Version: 2.0.9

• Title: Bayesian Borroing for TTE data from a Flexible Baseline Hazard Function

• Authors: Darren Scott, Sophia Axillus and Grant Izmirlian

• Imports: rlang, dplyr, invgamma, mvtnorm, checkmate, magrittr, ggplot2, patchwork, kableExtra, stats, survival, survminer, extraDistr, bayestestR

• Description:

  • Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2026) doi:10.1093/biostatistics/kxag006, and a paper focused on the software is in Scott, Axillus, Lewin and Izmirlian (2026) doi:10.48550/arXiv.2408.04327.

• License: Apache License (>=2)