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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>.
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Package details |
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| Author | Alex Przybylski [cre, aut], Mark Baillie [aut] (<https://orcid.org/0000-0002-5618-0667>), Craig Wang [aut] (<https://orcid.org/0000-0003-1804-2463>), Dominic Magirr [aut] |
| Maintainer | Alex Przybylski <alexander.przybylski@novartis.com> |
| License | LGPL (>= 3) |
| Version | 0.2.0 |
| URL | https://openpharma.github.io/beeca/ |
| Package repository | View on CRAN |
| Installation |
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