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A Nonparametric Method for Value Function Guided Subgroup Identification via Gradient Tree Boosting for Censored Survival Data
[article]
2020
arXiv
pre-print
In randomized clinical trials with survival outcome, there has been an increasing interest in subgroup identification based on baseline genomic, proteomic markers or clinical characteristics. Some of the existing methods identify subgroups that benefit substantially from the experimental treatment by directly modeling outcomes or treatment effect. When the goal is to find an optimal treatment for a given patient rather than finding the right patient for a given treatment, methods under the
arXiv:2006.08807v1
fatcat:os24uox4vbgqva3mw4tv3afpee