Metadata-Version: 2.1
Name: lifelines
Version: 0.26.4
Summary: Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression
Home-page: https://github.com/CamDavidsonPilon/lifelines
Author: Cameron Davidson-Pilon
Author-email: cam.davidson.pilon@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

![](http://i.imgur.com/EOowdSD.png)

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[![DOI](https://zenodo.org/badge/12420595.svg)](https://zenodo.org/badge/latestdoi/12420595)


[What is survival analysis and why should I learn it?](http://lifelines.readthedocs.org/en/latest/Survival%20Analysis%20intro.html)
 Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer *why do events occur now versus later* under uncertainty (where *events* might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like *what factors might influence deaths?*

But outside of medicine and actuarial science, there are many other interesting and exciting applications of survival analysis. For example:
- SaaS providers are interested in measuring subscriber lifetimes, or time to some first action
- inventory stock out is a censoring event for true "demand" of a good.
- sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages
- A/B tests to determine how long it takes different groups to perform an action.

*lifelines* is a pure Python implementation of the best parts of survival analysis.


## Documentation and intro to survival analysis

If you are new to survival analysis, wondering why it is useful, or are interested in *lifelines* examples, API, and syntax, please read the [Documentation and Tutorials page](http://lifelines.readthedocs.org/en/latest/index.html)

## Contact
 - Start a conversation in our [Discussions room](https://github.com/CamDavidsonPilon/lifelines/discussions).
 - Some users have posted common questions at [stats.stackexchange.com](https://stats.stackexchange.com/search?tab=votes&q=%22lifelines%22%20is%3aquestion)
 - creating an issue in the [Github repository](https://github.com/camdavidsonpilon/lifelines).

## Roadmap
You can find the roadmap for lifelines [here](https://www.notion.so/camdp/6e2965207f564eb2a3e48b5937873c14?v=47edda47ab774ca2ac7532bb0c750559).

## Development

See our [Contributing](https://github.com/CamDavidsonPilon/lifelines/blob/master/.github/CONTRIBUTING.md) guidelines.


