https://github.com/novartis/bamdd
Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms
https://github.com/novartis/bamdd
bayesian brms clinical stan
Last synced: 3 months ago
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Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms
- Host: GitHub
- URL: https://github.com/novartis/bamdd
- Owner: Novartis
- License: gpl-2.0
- Created: 2024-03-27T14:59:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-08T07:28:19.000Z (3 months ago)
- Last Synced: 2025-07-14T03:38:34.979Z (3 months ago)
- Topics: bayesian, brms, clinical, stan
- Language: HTML
- Homepage: https://opensource.nibr.com/bamdd/
- Size: 64.5 MB
- Stars: 22
- Watchers: 5
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# (Bayesian) Applied Modelling in Drug Development (BAMDD)
Flexible Bayesian regression modelling in Stan via `brms`
## About
This website contains materials that were developed to accompany a series of
workshops held in the Analytics department at Novartis over 2022-2024,
illustrating the utility of the R package `brms` for solving drug-
development problems. In order to highlight the versatility of that package,
we have developed a collection of case studies covering a diverse set of
clinical and statistical questions that were addressed via Bayesian modelling
with the `brms` package.
## Requirements
- quarto
- cmdstanr and cmdstan (`cmdstanr::install_cmdstan()`)
- other R package dependencies (see Imports under the dummy `DESCRIPTION` file, `devtools::install_deps()`)
## Quickstart
Rendering the book from Quarto source can be done using the provided `Makefile`:
```bash
make website QUARTO_PROFILE=public
```
## License
### Code
The code is licensed under GPL-2 ([LICENSE](LICENSE))
### Materials
The book itself is licensed under CC BY 4.0 ([docs/public/LICENSE](docs/public/LICENSE))