Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the response of the control arm of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013).
Albert Man reviewed this package. Albert, Faith Bian, and Saptarshi Chatterjee contributed to the development of the methods prior to implementation. Phebe Kemmer, Heather Zhao, and Zhangchen Zhao also provided helpful feedback on the models and their application to clinical use-cases.
Please note that the historicalborrow project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.