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pirate: Generated Effect Modifier
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>).
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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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