beeca-package: beeca: Binary Endpoint Estimation with Covariate Adjustment

In beeca: Binary Endpoint Estimation with Covariate Adjustment

beeca: Binary Endpoint Estimation with Covariate Adjustment

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/009286151104500409")} and Ye et al (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/24754269.2023.2205802")}.

Author(s)

Maintainer: Alex Przybylski [e-mail]

Authors:

• Mark Baillie [e-mail] (ORCID)

• Craig Wang [e-mail] (ORCID)

• Dominic Magirr [e-mail]

See Also

Useful links:

• https://openpharma.github.io/beeca/

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

beeca documentation built on April 3, 2025, 5:59 p.m.