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.