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Lifelines

lifelines is a 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 (designed for humans)
• only does survival analysis (No unnecessary features or second-class implementations)

Contents:

• Quickstart
  • Installation
  • Kaplan-Meier and Nelson-Aalen
  • Getting Data in The Right Format
  • Survival Regression
• Introduction to Survival Analysis
  • Applications
  • Censorship
  • Survival function
  • Hazard curve
• Introduction to using lifelines
  • Estimating the Survival function using Kaplan-Meier
  • Estimating hazard rates using Nelson-Aalen
  • Other types of censorship
• Survival Regression
  • Aalen’s Additive model
  • Cox’s Proportional Hazard model
  • Model Selection in Survival Regression
• More Examples and Recipes
  • Compare two populations statistically
  • Model selection using lifelines
  • Displaying at-risk counts below plots
  • Getting survival-table data into lifelines format
  • Plotting multiple figures on an plot
  • Plotting options and styles
  • Set the index/timeline of a estimate
  • Example SQL query to get data from a table

Installation

Dependencies are from the typical Python data-stack: Numpy, Pandas, Scipy, and optionally Matplotlib. Install using:

pip install lifelines

Source code and Issue Tracker

Available on Github, CamDavidsonPilon/lifelines Please report bugs, issues and feature extensions there.

Indices and tables

• Index
• Module Index
• Search Page