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--- seminars:stat:210311 [2021/03/04 19:48] – created qyu
+++ seminars:stat:210311 [2021/03/04 19:51] (current) – qyu
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, March 11, 2021 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|Zoom meeting |
+^  **SPEAKER:**|Xinhai Zhang, Binghamton University |
+^  **TITLE:**|A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+In the paper 'A Simple Method for Estimating Interactions Between a
+Treatment and a Large Number of Covariates’ by Lu TIAN, Ash A. ALIZADEH, Andrew J.
+GENTLES, and Robert TIBSHIRANI, they propose a simple method for modeling
+interactions between the treatment and covariates. The idea is to modify the
+covariate in a simple way, and then ﬁt a standard model using the modiﬁed covariates
+and no main effects. They show that coupled with an efﬁciency augmentation
+procedure, this method produces clinically meaningful estimators in a variety of
+settings. It can be useful for practicing personalized medicine: determining from a
+large set of biomarkers, the subset of patients that can potentially beneﬁt from a
+treatment.
+</WRAP>