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Activity Number:
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230
- Longitudinal Data Analysis
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Type:
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Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract #322495
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Title:
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Clustered Binomial Data Analysis by Modified Generalized Estimating Equations
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Author(s):
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Xuemao Zhang*
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Companies:
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East Stroudsburg University
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Keywords:
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Clustered binomial data ;
Extra-binomial variation ;
Generalized estimating equations ;
Variance function
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Abstract:
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Extra-binomial variation in clustered binomial data is frequently observed in biomedical and observational studies. The usual generalized estimating equations (GEE) method treats the extra-binomial parameter as a constant across all clusters. In this paper, a two-parameter variance function modeling the extraneous variance is proposed to account for heterogeneity among clusters. The new approach allows modeling the extra-binomial variation as a function of the mean and binomial size.
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Authors who are presenting talks have a * after their name.
