beeca: Binary Endpoint Estimation with Covariate Adjustment

Performs estimation of marginal treatment effects for binary outcomes when using logistic regression working models with covariate adjustment (see discussions in Magirr et al (2024) https://osf.io/9mp58/). Implements the variance estimators of Ge et al (2011) doi:10.1177/009286151104500409 and Ye et al (2023) doi:10.1080/24754269.2023.2205802 .

See also

Useful links:

• https://openpharma.github.io/beeca/

• Report bugs at https://github.com/openpharma/beeca/issues

Author

Maintainer: Alex Przybylski alexander.przybylski@novartis.com

Authors:

• Mark Baillie mark.baillie@novartis.com (ORCID)

• Craig Wang craig.wang@novartis.com (ORCID)

• Dominic Magirr dominic.magirr@novartis.com