From priors to performance: enhancing statistical efficiency with Bayesian dynamic borrowing
The most common dynamic borrowing approaches for external data, including how to incorporate multiple historical data sets, are reviewed and used in practice, using publicly available software, to perform important statistical tasks such as model selection, average treatment effect estimation and prior sensitivity anal...