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--- seminars:stat:211118 [2021/11/11 18:09] – created qyu
+++ seminars:stat:211118 [2021/11/17 20:45] (current) – qiao
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, Nov. 18, 2021 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|Zoom meeting |
+^  **SPEAKER:**|Xinhai Zhang, Binghamton  University |
+^  **TITLE:**|A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+This is a talk about the article by Yifan Cui and Eric Tchetgen Tchetgen.
+There is a fast-growing literature on estimating optimal treatment regimes based on
+randomized trials or observational studies under a key identifying condition of no
+unmeasured confounding. Because confounding by unmeasured factors cannot generally
+be ruled out with certainty in observational studies or randomized trials subject to
+noncompliance, the authors propose a general instrumental variable (IV) approach to
+learning optimal treatment regimes under endogeneity. Specifically, they establish
+identification of both value function for a given regime D and optimal regimes with
+the aid of a binary IV, when no unmeasured confounding fails to hold.
+</WRAP>