Identifier
etd-06282012-100026
Degree
Master of Applied Statistics (MApStat)
Department
Experimental Statistics
Document Type
Thesis
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.
Date
2012
Document Availability at the Time of Submission
Release the entire work immediately for access worldwide.
Recommended Citation
Beacham, Lauren Ashley, "Using generalized estimating equations to analyze repeated measures binary data from the young adolescent crowd study" (2012). LSU Master's Theses. 1808.
https://repository.lsu.edu/gradschool_theses/1808
Committee Chair
Marx, Brian
DOI
10.31390/gradschool_theses.1808