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A uniform statistical inferential tool in making individualized treatment decisions, which implements the methods of Ma et al. (2017)doi:10.1177/0962280214541724 and Guo et al. (2021)doi:10.1080/01621459.2020.1865167. It uses a flexible semiparametric modeling strategy for heterogeneous treatment effect estimation in high-dimensional settings and can gave valid confidence bands. Based on it, one can find the subgroups of patients that benefit from each treatment, thereby making individualized treatment selection.
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