Title page for ETD etd-06282012-100026


Type of Document Master's Thesis
Author Beacham, Lauren Ashley
URN etd-06282012-100026
Title Using Generalized Estimating Equations to Analyze Repeated Measures Binary Data from the Young Adolescent Crowd Study
Degree Master of Applied Statistics (M.Ap.Stat.)
Department Experimental Statistics
Advisory Committee
Advisor Name Title
Marx, Brian Committee Chair
Escobar, Luis Committee Member
Geaghan, James Committee Member
Keywords
  • Binomial Data
  • Correlated data
  • Generalized Estimating Equations
Date of Defense 2012-05-16
Availability unrestricted
Abstract
The young adolescent crowd study (YACS) was conducted in order to look at the influence of various factors on use of controlled substances by middle school students. The contributing factors investigated were demographics (gender and race), self-esteem in different modalities such as school or athletic performance, and the peer group students belong to. Each student has a binary response for whether they have used alcohol, marijuana or cigarettes which was recorded in both seventh and eighth grade. Since the data has a binary repeated measures response, generalized estimating equations (GEE) in a logistic regression setting is a good way to model the data. The theory and method of GEE is explained in detail followed by results, issues encountered and a discussion of how the model worked with the data set.
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