This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 256
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #309275
Title: A Model for Multilevel Clustered Data with Informative Cluster Size Using Poisson Distribution
Author(s): Ana-Maria Iosif*+ and Allan Sampson
Companies: University of California, Davis and University of Pittsburgh
Address: East Health Sciences Drive , Davis, CA, 95616,
Keywords: clustered data ; informative cluster size ; Poisson distribution

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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