Matching on generalized propensity scores with continuous exposures
Project description
pycausalgps
[This packages is under development. Some of the features are not yet implemented.]
Causal Inference with Generalized Propensity Score
pycausalgps is a Python library for implementing matching on generalized propensity scores with continuous exposures. We have developed an innovative approach for estimating causal effects using observational data in settings with continuous exposures and introduced a new framework for GPS caliper matching that jointly matches on both the estimated GPS and exposure levels to fully adjust for confounding bias.
Setting Up Environment
Please refer to the documentation for setting up the enviorment.
Installation
To install the latest release from PyPI, run:
pip install pycausalgps
To install the latest development version from GitHub, run:
git clone https://github.com/NSAPH-Software/pycausalgps
cd pycausalgps
pip install .
Documentation
Documentation is hosted at https://nsaph-software.github.io/pycausalgps/
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