Persistent Link:
http://hdl.handle.net/10150/613406
Title:
An Introduction to Propensity Score Analysis
Author:
Cousineau, Valerie Elaine
Issue Date:
2016
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
There has been a growing interest in using propensity scores in the analysis of observational studies. The propensity score is a balancing mechanism that works to create groups of subjects which have a similar distribution on background covariates. Matching, stratification, inverse propensity treatment weighting and regression adjustment are all strategies that can be used with the propensity score to create balance between groups of subjects. The aim of this paper is to introduce propensity scores and the different techniques which make use of them. We use data obtained from the Women's Health Initiative to demonstrate each of the different methods for propensity score analysis. In the example analysis we examined the association between dog ownership and CVD. The results of our analysis were quite consistent, and demonstrate the propensity score analysis can be used effectively to balance treated and untreated groups within an observational study.
Type:
text; Electronic Thesis
Keywords:
Biostatistics; Propensity Score
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Biostatistics
Degree Grantor:
University of Arizona
Advisor:
Bell, Melanie L.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleAn Introduction to Propensity Score Analysisen_US
dc.creatorCousineau, Valerie Elaineen
dc.contributor.authorCousineau, Valerie Elaineen
dc.date.issued2016-
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.description.abstractThere has been a growing interest in using propensity scores in the analysis of observational studies. The propensity score is a balancing mechanism that works to create groups of subjects which have a similar distribution on background covariates. Matching, stratification, inverse propensity treatment weighting and regression adjustment are all strategies that can be used with the propensity score to create balance between groups of subjects. The aim of this paper is to introduce propensity scores and the different techniques which make use of them. We use data obtained from the Women's Health Initiative to demonstrate each of the different methods for propensity score analysis. In the example analysis we examined the association between dog ownership and CVD. The results of our analysis were quite consistent, and demonstrate the propensity score analysis can be used effectively to balance treated and untreated groups within an observational study.en
dc.typetexten
dc.typeElectronic Thesisen
dc.subjectBiostatisticsen
dc.subjectPropensity Scoreen
thesis.degree.nameM.S.en
thesis.degree.levelmastersen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineBiostatisticsen
thesis.degree.grantorUniversity of Arizonaen
dc.contributor.advisorBell, Melanie L.en
dc.contributor.committeememberBedrick, Edward J.en
dc.contributor.committeememberBillheimer, David D.en
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