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Title
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Room
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! Analyzing Multivariate Longitudinal Data - A Fresh Look
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H-Jackson
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Date / Time
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Sponsor
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Type
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08/08/2001
2:00 PM
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3:50 PM
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SSC, ENAR
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Invited
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Organizer:
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Chandra Damaraju, The R.W. Johnson Pharmaceutical Research Institute
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Chair:
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Chandra Damaraju, The R.W. Johnson Pharmaceutical Research Institute
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Discussant:
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3:20 PM - Ross Prentice, Fred Hutchinson Cancer Research Center and University of Washington
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Floor Discussion
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3:45 PM
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Description
Multivariate longitudinal data arise in many biomedical problems, among others. For example, the number of visits to the physician by family members may be repeatedly collected over a certain number of years, where the responses of the family members at a given year may be correlated through mixed models and the repeated responses will be longitudinally correlated.
In the past few years, rapid progress in methodology has taken place in the area of mixed effect models and generalized estimating equations (GEEs) approaches to deal with structurally and longitudinally correlated data. This invited session will be devoted to laying out and discussing some of the latest advancements and/or approaches to analyzing longitudinal data, and mixed effects models and the approaches to combine them. From the view points of practitioners of these methods, the invited talks will be motivated towards main questions that are being addressed, what works and what does not.
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