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Survival analysis in Python

Project description

Python Version PyPI Package Version Documentation Status GitHub License

Survive is a Python 3 package built on top of NumPy and pandas that provides statistical tools for the analysis of survival, lifetime, and event data.



The latest version of Survive can be installed directly after cloning from GitHub.

git clone
cd survive
make install

Moreover, Survive is on the Python Package Index (PyPI), so a recent version of it can be installed with the pip tool.

python -m pip install survive


Survive relies on the following scientific computing packages.

Case Studies

Leukemia remission times

A small dataset (42 total observations) separated into two groups with heavy right-censoring in one and none in the other.

Channing House data

A slightly larger dataset (462 total observations) separated into two groups with right-censoring and left truncation in both.

API Reference

The complete API Reference for Survive is available on Read the Docs.

Project details

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