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lifelines

lifelines is a complete survival analysis library, written in pure Python. What benefits does lifelines have?

• easy installation

• internal plotting methods

• simple and intuitive API

• handles right, left and interval censored data

• contains the most popular parametric, semi-parametric and non-parametric models

Installation

pip install lifelines

or

conda install -c conda-forge lifelines

Source code and issue tracker

Available on Github, CamDavidsonPilon/lifelines. Please report bugs, issues and feature extensions there. We also have discussion channel available to discuss survival analysis and lifelines:

Citing lifelines

The following link will bring you to a page where you can find the latest citation for lifelines: Citation for lifelines

Documentation

Quickstart & Intro

• Quickstart
• Introduction to survival analysis

Univariate Models

• Estimating univariate models
• Piecewise exponential models and creating custom models
• Discrete survival models
• Time-lagged conversion rates and cure models

Regression Models

• Survival regression
• Custom regression models
• Compatibility with scikit-learn
• Time varying survival regression
• Testing the proportional hazard assumptions
• Do I need to care about the proportional hazard assumption?

Additional documentation

• API Reference
• More examples and recipes

About lifelines

• Changelog
• Development blog
• Citing lifelines
• Support lifelines

Questions? Suggestions?

• Discussion forum
• Create a GitHub issue

Developer Documentation

• Contributing to lifelines
• Development