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lifelines

lifelines is an implementation of survival analysis in Python. What benefits does lifelines offer over other survival analysis implementations?

• built on top of Pandas
• internal plotting methods
• simple and intuitive API
• only focus is survival analysis
• handles right, left and interval censored data

Contents:

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

• More examples and recipes
• API Reference

About lifelines

• Changelog
• Development blog
• Citing lifelines

Questions? Suggestions?

• Gitter channel
• Create a GitHub issue

Developer Documentation

• Contributing to lifelines
• Development

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 Gitter 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

Indices and tables

• Index
• Module Index
• Search Page