Longitudinal Bayesian Historical Borrowing Models

Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) .

historicalborrowlong

Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013).

Installation

remotes::install_github("wlandau/historicalborrowlong")

Documentation

• Functions: https://wlandau.github.io/historicalborrowlong/reference/
• Methods: https://wlandau.github.io/historicalborrowlong/articles/methods.html
• Usage: https://wlandau.github.io/historicalborrowlong/articles/usage.html

Thanks

Albert Man, 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.

Code of Conduct

Please note that the historicalborrowlong project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

References

• Viele, Kert and Berry, Scott and Neuenschwander, Beat et al. “Use of historical control data for assessing treatment effects in clinical trials.” Pharmaceutical Statistics 1(13), 2013.