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,
|Author||Eva Petkova, Zhe Su|
|Maintainer||Zhe Su <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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