Optimal Treatment Selection Using the Covariate-Specific Treatment Effect Curve with High-dimensional Covariates

25 Dec 2018 Guo Wenchuan Zhou Xiao-hua Ma Shujie

In this paper, we propose a new semi-parametric modeling strategy for heterogeneous treatment effect estimation and individualized treatment selection, which are two major goals in personalized medicine, with a large number of baseline covariates. We achieve the first goal through estimating a covariate-specific treatment effect (CSTE) curve modeled as an unknown function of a weighted linear combination of all baseline covariates... (read more)

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  • METHODOLOGY