An implementation of the generated effect modifier (GEM) method. This method constructs composite variables by linearly combining pre-treatment scalar patient characteristics to create optimal treatment effect modifiers in linear models. The optimal linear combination is called a GEM. Treatment is assumed to have been assigned at random. For reference, see E Petkova, T Tarpey, Z Su, and RT Ogden. Generated effect modifiers (GEMs) in randomized clinical trials. Biostatistics (First published online: July 27, 2016, <doi:10.1093/biostatistics/kxw035>).
Package details |
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Author | Eva Petkova, Zhe Su |
Maintainer | Zhe Su <Zhe.Su@nyumc.org> |
License | MIT + file LICENSE |
Version | 1.0.0 |
Package repository | View on CRAN |
Installation |
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