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Abstract Details
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Activity Number:
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192
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Type:
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Roundtables
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Date/Time:
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Monday, August 1, 2011 : 12:30 PM to 1:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #301199 |
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Title:
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Analysis of Longitudinal Categorical Data
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Author(s):
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Madhuja Mallick*+
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Companies:
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Merck Research Laboratories
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Address:
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, , ,
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Keywords:
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Abstract:
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Objective of longitudinal data model is to study changes over time within subject or changes over time between subjects. When the longitudinal data is categorical, modeling the data is not easy. Since multivariate normality assumption does not hold. The issue becomes more complicated when there are missing data. Strategies to deal with missing data affect the inference procedure as well. This session will focus on different candidate models such as marginal, conditional, and transitional models and their advantages and disadvantages in presence of missing data. Handling this type of data in optimal way in terms of operation characteristics will also be of interest for this session.
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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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