https://github.com/wlandau/historicalborrow

Non-longitudinal Bayesian historical borrowing models
https://github.com/wlandau/historicalborrow

bayesian-statistics clinical-trials historical-data

Last synced: 16 days ago
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Non-longitudinal Bayesian historical borrowing models

• Host: GitHub
• URL: https://github.com/wlandau/historicalborrow
• Owner: wlandau
• License: other
• Created: 2022-09-09T18:35:57.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-10T12:44:09.000Z (2 months ago)
• Last Synced: 2024-09-12T23:27:43.839Z (2 months ago)
• Topics: bayesian-statistics, clinical-trials, historical-data
• Language: R
• Homepage: https://wlandau.github.io/historicalborrow/
• Size: 2.23 MB
• Stars: 3
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.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%"

)

```

# historicalborrow

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).

## Installation

```{r, eval = FALSE}

remotes::install_github("wlandau/historicalborrow")

```

## Documentation

* Functions: 

* Methods: 

* Usage: 

## Thanks

[Albert Man](https://github.com/albert-man) reviewed this package. Albert, [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 reviewed and provided helpful feedback.

## Code of Conduct

Please note that the historicalborrow 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.