Department of Mathematics and Statistics, Binghamton University

User Tools

Site Tools

You are here: Homepage » Colloquium, Seminars, Lectures, and Conferences » Statistics Seminar » 210311
seminars:stat:210311

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
seminars:stat:210311 [2021/03/04 19:50] – qyuseminars:stat:210311 [2021/03/04 19:51] (current) – qyu
Line 1: Line 1:
 +<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>
 +
 +
 +
 +