This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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256
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #309275 |
Title:
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A Model for Multilevel Clustered Data with Informative Cluster Size Using Poisson Distribution
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Author(s):
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Ana-Maria Iosif*+ and Allan Sampson
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Companies:
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University of California, Davis and University of Pittsburgh
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Address:
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East Health Sciences Drive , Davis, CA, 95616,
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Keywords:
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clustered data ;
informative cluster size ;
Poisson distribution
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Abstract:
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We consider that clustered data are collected repeatedly (over conditions or over time) and we look on a way of modeling and analyzing repeated measures clustered data when the cluster size is informative. In a clinical trial of a migraine drug, the number of headaches and the degree of severity associated to each headache are collected repeatedly, over follow-up periods. Both the number of migraines and their severity levels are informative about the drug performance. A change in disease status is reflected in simultaneous changes in both the number of migraines and the severity of each migraine. We propose a likelihood based method applicable in diseases with recurrent events such as epilepsy or migraine headaches, where both the number of events and the severity of each event for a patient tend to depend on that patient's overall disease status. Estimation and examples are discussed.
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