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Survival analysis in Python

Project description

Survive

PyPI version Documentation Status

Survival analysis in Python.

Installation

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

git clone https://github.com/artemmavrin/survive.git
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 utility:

pip install survive

Dependencies

Case Studies

  • Leukemia remission time dataset. A small dataset (42 total observations) separated into two groups with heavy right-censoring in one and none in the other.
  • Channing House dataset. A slightly larger dataset (462 total observations) separated into two groups with right-censoring and left truncation in both.

Project details


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