Population Matching
Project description
PyBalance
The pybalance library implements several routines for optimizing the balance
between non-random populations. In observational studies, this matching process
is a key step towards minimizing the potential effects of confounding
covariates. The official documentation is hosted here.
An application of this library to matchng in the pharmaceutical setting is presented here: here.
Features
- Implements linear and non-linear optimization approaches for matching.
- Utilizes integer program solvers and evolutionary solvers for optimization.
- Includes implementation of propensity score matching for comparison.
- Offers a variety of balance calculators and matchers.
- Provides visualization tools for analysis.
- Supports simulation of datasets for testing and demonstration purposes.
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pybalance-0.2.0.tar.gz
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