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Estimation of heterogeneity of treat...

Reshetnyak, Evgeniya.

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Estimation of heterogeneity of treatment effect using EM algorithm.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Estimation of heterogeneity of treatment effect using EM algorithm./
Author:	Reshetnyak, Evgeniya.
Description:	98 p.
Notes:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
Subject:	Quantitative psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1585672
ISBN:	9781321645705

Estimation of heterogeneity of treatment effect using EM algorithm.
Reshetnyak, Evgeniya.

Estimation of heterogeneity of treatment effect using EM algorithm. - 98 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.A.)--Fordham University, 2015.

Heterogeneity of treatment effect in randomized clinical trials is referred to the problem of high variability in treatment responses across patients. Although a study may suggest positive average treatment effect for a trial population, for subgroups of individuals a treatment may be not beneficial. Despite the existence of a wide array of ad-hoc and post-hoc statistical procedures, which are designed to discern or control for such variations of responses, each of them has certain limitations. The purpose of the current study is to propose the statistical model of estimation of Heterogeneity of Treatment Effect (HTE) in randomized clinical trials using EM algorithm, the approach that so far has been overlooked in the clinical research literature.

ISBN: 9781321645705Subjects--Topical Terms:

2144748
Quantitative psychology.

Estimation of heterogeneity of treatment effect using EM algorithm.
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100 1 $a Reshetnyak, Evgeniya. $3 3183582
245 1 0 $a Estimation of heterogeneity of treatment effect using EM algorithm.
300 $a 98 p.
500 $a Source: Masters Abstracts International, Volume: 54-04.
500 $a Adviser: Ying Liu.
502 $a Thesis (M.A.)--Fordham University, 2015.
520 $a Heterogeneity of treatment effect in randomized clinical trials is referred to the problem of high variability in treatment responses across patients. Although a study may suggest positive average treatment effect for a trial population, for subgroups of individuals a treatment may be not beneficial. Despite the existence of a wide array of ad-hoc and post-hoc statistical procedures, which are designed to discern or control for such variations of responses, each of them has certain limitations. The purpose of the current study is to propose the statistical model of estimation of Heterogeneity of Treatment Effect (HTE) in randomized clinical trials using EM algorithm, the approach that so far has been overlooked in the clinical research literature.
590 $a School code: 0072.
650 4 $a Quantitative psychology. $3 2144748
650 4 $a Clinical psychology. $3 524863
650 4 $a Statistics. $3 517247
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710 2 $a Fordham University. $b Psychology. $3 3183238
773 0 $t Masters Abstracts International $g 54-04(E).
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791 $a M.A.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1585672