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index.qmd
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---
format:
html:
author-title: "Editors"
---
# Preface {.unnumbered}
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 questions that were addressed via Bayesian modelling with the `brms` package.
::: {.content-visible when-profile="public"}
::: {.callout-tip}
## Short course at JSM -- Portland, OR -- August 5th 2024
We will offer a short course based on this material at the 2024 Joint Statistical Meetings in Portland on August 5. The materials are available here:
- [Slides](workshops/jsm2024/slides/bamdd_jsm2024.pdf) & [additional material (see readme)](https://github.com/Novartis/bamdd/tree/main/workshops/jsm2024)
:::
:::
## Navigating the site
The material is organized as follows:
- @sec-introduction introduces `brms` and the objectives of these vignettes
- @sec-basic-workflow highlights the basic workflow (analysis steps and
syntax) for carrying out an analysis with `brms`
- The next series of sections contain the case
studies. You can find a [listing with descriptions on this page](src/02_case_studies.qmd).
- Sections @sec-stan-code and @sec-parallel cover more technical topics, such
as exposing and injecting custom stan code to `brms` models,
and efficient parallel computation to support sampling in `brms`.
## Updates
This web-site is intended as a live document with updates as
appropiate. Key changes to the web-site are tracked here:
::: {.content-visible when-profile="public"}
- 31st July 2024: Linked materials from JSM Portland 2024 short course
- 5th June 2024: Added @sec-pos on assessing probability of success of
in Phase-III based on a single-arm trial in Phase-II
- 29th April 2024: Third edition course from Paul Bürkner with the new
case studies on probability of success, meta-analytic priors with
covariates & time-to-event modelling in Oncology phase I
dose-escalation. Pre-read version.
- 19th April 2024: First public version at [opensource.nibr.com/bamdd](http://opensource.nibr.com/bamdd)
- 5th January 2024: Release web-site in more modern quarto book
based format
- 26th April 2023: Second edition course from Paul Bürkner with the
new case studies on MMRM, time-to-event data, surrogate endpoint
meta-regression and network meta-analysis
- 27th April 2022: First release with course from Paul Bürkner
:::
::: {.content-visible when-profile="public"}
## License information
- The material on this website is provided under a CC BY 4.0 [license](https://github.com/Novartis/bamdd/tree/main/docs/public/LICENSE)
- The source code is provided under a GPL-2 [license](https://github.com/Novartis/bamdd/tree/main/LICENSE)
:::