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
git clone https://github.com/artemmavrin/survive.git
Moreover, Survive is on the
Python Package Index (PyPI), so a recent
version of it can be installed with the pip
python -m pip install survive
Survive relies on the following scientific computing packages.
- 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.
The complete API Reference for Survive is available on
Read the Docs.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.