A method to explore the treatment-covariate interactions in survival or generalized linear model (GLM) for continuous, binomial and count data arising from two treatment arms of a clinical trial. A permutation distribution approach to inference is implemented, based on permuting the covariate values within each treatment group.
|Author||Wai-ki Yip, with contributions from Ann Lazar, David Zahrieh, Chip Cole, Ann Lazar, Marco Bonetti, Victoria Wang, William Barcella and Richard Gelber|
|Date of publication||2014-10-22 09:03:30|
|Maintainer||Wai-ki Yip <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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