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Abstract Details
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Activity Number:
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668
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #303183 |
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Title:
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A New Model for Over-Dispersion Data Analysis
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Author(s):
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Xiaodong Wang*+
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Companies:
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sanofi-aventis
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Address:
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200 Crossing Blvd, Bridgewater, NJ, 08807, US
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Keywords:
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exchangeable ;
Poisson regression
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Abstract:
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In many teratogenic and clinical studies, response binary data are often correlated within each litter or patient. For example, multiple sclerosis relapses could happen on a multiple sclerosis patient several times. Many statistical methods were developed to analyze the over-dispersion data over twenty years. In practice, Poisson regression model is often used. However, this model may not be appropriate in some circumstances. In this paper, we focus on the discussion of our new model, exchangeable negative binomial distribution, compared with the often used model, Poisson distribution, by simulation at different settings, which would be helpful to our practice.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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