Ryan L. Irey, M.A., M.S.

Insititute for Health Informatics

University of Minnesota

psmatching is a package for implementing propensity score matching in Python 3.

The following functionality is included in the package:

• Calculation of propensity scores based on a specified model
• Matching of k controls to each treatment case
• Evaluation of the matching process using statistical methods

psmatching uses a number of open source projects to work properly:

• pandas
• numpy
• scipy
• statsmodels

psmatching itself is open source with a public repository on GitHub.

Install psmatching via pip

$ pip install psmatching

Coming soon!

Documentation for this package can be found here. Documentation is currently under construction!

Parts of this package's source code are modified from Kellie Otto's pscore-match package. More info on that package can be found here.

Apache 2.0