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Subgroup Identification Using the personalized Package
[article]
2018
arXiv
pre-print
A plethora of disparate statistical methods have been proposed for subgroup identification to help tailor treatment decisions for patients. However a majority of them do not have corresponding R packages and the few that do pertain to particular statistical methods or provide little means of evaluating whether meaningful subgroups have been found. Recently, the work of Chen, Tian, Cai, and Yu (2017) unified many of these subgroup identification methods into one general, consistent framework.
arXiv:1809.07905v2
fatcat:g6apmf4vejbq5o2aih5tpvop3y