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.

Project details

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This version

0.2.0

Jul 2, 2024

0.1.8

Jun 10, 2024

0.1.7

Jun 10, 2024

0.1.5

May 30, 2024

0.1.1

Jan 18, 2024

0.1.0

Jan 9, 2024

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