Title | Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Song, Rui, Shikai Luo, Donglin Zeng, Hao Helen Zhang, Wenbin Lu, and Zhiguo Li |
Journal | Electron J Stat |
Volume | 11 |
Issue | 1 |
Pagination | 364-384 |
Date Published | 2017 |
ISSN | 1935-7524 |
Abstract | Different from the standard treatment discovery framework which is used for finding single treatments for a homogenous group of patients, personalized medicine involves finding therapies that are tailored to each individual in a heterogeneous group. In this paper, we propose a new semiparametric additive single-index model for estimating individualized treatment strategy. The model assumes a flexible and nonparametric link function for the interaction between treatment and predictive covariates. We estimate the rule via monotone B-splines and establish the asymptotic properties of the estimators. Both simulations and an real data application demonstrate that the proposed method has a competitive performance. |
DOI | 10.1214/17-EJS1226 |
Alternate Journal | Electron J Stat |
Original Publication | Semiparametric single-index model for estimating optimal individualized treatment strategy. |
PubMed ID | 28959371 |
PubMed Central ID | PMC5612500 |
Grant List | P01 CA142538 / CA / NCI NIH HHS / United States R01 GM047845 / GM / NIGMS NIH HHS / United States R01 NS073671 / NS / NINDS NIH HHS / United States U01 NS082062 / NS / NINDS NIH HHS / United States |
Project: