EmpiricalCalibration (Python)
Copyright 2026 Adam Black

This product includes software derived from the OHDSI R package
EmpiricalCalibration (version 3.1.4), which is licensed under the
Apache License, Version 2.0.

    EmpiricalCalibration
    Copyright 2014-2025 Observational Health Data Sciences and Informatics
    Authors: Martijn J. Schuemie, Marc A. Suchard
    https://github.com/OHDSI/EmpiricalCalibration

This Python package is an independent port. It is not produced, endorsed
or supported by OHDSI or by the authors of the R package. Report issues
with the Python port to https://github.com/ablack3/EmpyriCal, not to the
R package's maintainers.

The statistical methods implemented here are described in:

    Schuemie MJ, Ryan PB, DuMouchel W, Suchard MA, Madigan D.
    Interpreting observational studies: why empirical calibration is
    needed to correct p-values. Statistics in Medicine 33(2):209-18, 2014.
    doi:10.1002/sim.5925

    Schuemie MJ, Hripcsak G, Ryan PB, Madigan D, Suchard MA. Empirical
    confidence interval calibration for population-level effect estimation
    studies in observational healthcare data. PNAS 115(11):2571-2577, 2018.
    doi:10.1073/pnas.1708282114
