https://github.com/wlandau/historicalborrowlong

Longitudinal Bayesian historical borrowing models
https://github.com/wlandau/historicalborrowlong

bayesian-statistics clinical-trials historical-data

Last synced: 16 days ago
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Longitudinal Bayesian historical borrowing models

• Host: GitHub
• URL: https://github.com/wlandau/historicalborrowlong
• Owner: wlandau
• License: other
• Created: 2022-09-09T18:54:14.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-09T13:09:11.000Z (2 months ago)
• Last Synced: 2024-09-09T15:47:42.523Z (2 months ago)
• Topics: bayesian-statistics, clinical-trials, historical-data
• Language: R
• Homepage: https://wlandau.github.io/historicalborrowlong/
• Size: 1.53 MB
• Stars: 8
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# 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

```{r, eval = FALSE}

remotes::install_github("wlandau/historicalborrowlong")

```

## Documentation

* Functions: 

* Methods: 

* Usage: 

## Thanks

[Albert Man](https://github.com/albert-man), [Faith Bian](https://github.com/faithbian-lilly), and [Saptarshi Chatterjee](https://github.com/schatterjee-lilly) 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](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). 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.