| 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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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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Beacham_Thesis.pdf |
223.90 Kb |
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