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Activity Number: 625 - Personalized/Precision Medicine II
Type: Contributed
Date/Time: Thursday, August 2, 2018 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #330435
Title: Multi-Response Based Personalized Treatment Selection for Multiple Treatments
Author(s): Chathura Siriwardhana* and Karunarathna B Kulasekera
Companies: University of Hawaii and University of Louisville
Keywords: Design variables; Multiple-Responses; Personalized Treatments; Single Index Models

In this work, we propose a novel method for individualized treatment selection when the treatment response is multivariate. Our method covers any number of treatments and it can be applied for a broad set of models. The proposed method uses a Mahalanobis type distance measure to estimate an ordering of treatments based on treatment performance measures such as smooth conditional means. An empirical study demonstrates the performance of the proposed method in finite samples. We also present a data analysis using an HIV clinical trial data to show the applicability of the proposed procedure for real data.

Authors who are presenting talks have a * after their name.

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