Survival analysis in Python
Project description
Survive
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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