dcurves

Contributors

• Shaun Porwal ([e-mail])
• Rohan Singh ([e-mail])

dcurves

Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes, but often require collection of additional information that may be cumbersome to apply to models that yield continuous results. Decision Curve Analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requiring only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The dca function performs decision curve analysis for binary and survival outcomes. Review the DCA tutorial (towards the bottom) for a detailed walk-through of various applications. Also, see www.decisioncurveanalysis.org for more information.

Table Of Contents

The documentation follows the best practice for project documentation as described by Daniele Procida in the Diátaxis documentation framework and consists of four separate parts:

1. Tutorials
2. How-To Guides
3. Reference
4. Explanation

Quickly find what you're looking for depending on your use case by looking at the different pages.

Project Overview

::: dcurves

In-depth tutorial and explanations:

https://www.decisioncurveanalysis.org

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change

Please make sure to update tests as appropriate

License

Apache 2.0

Note

setup.py is deprecated now that dependencies are managed by poetry package manager

Using towncrier to document changes for this project

creating a newsfragment example (format is PR/Issue#.type for newsfragment): poetry run towncrier create -c "Added support for Python 3.11." 18.addition

Make sure the newsfragments are tracked by git before building

building newsfragments example (dryrun with draft): poetry run towncrier build --draft --version 1.0.6.4

Creating custom towncrier types: check pyproject.toml for example, as all of those are custom types