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Abstract Details
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Activity Number:
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393
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #305215 |
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Title:
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Impact of Model Violations on Parameter Estimation in Linear Mixed Models
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Author(s):
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Chul Ahn*+
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Companies:
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FDA/CDRH
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Address:
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10903 New Hampshire Avenue, Silver Spring, MD, 20993, United States
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Keywords:
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random effects ;
correlation within cluster ;
clinical trial ;
linear mixed models ;
between-subject covariate ;
regression coefficient
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Abstract:
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In linear mixed models, random effects are used to model the between-subject correlation within cluster, and these correlations or the random effects variances are assumed to be the same across clusters, or investigational sites in the clinical trial. However, this assumption may not be valid in many situations. In this talk we will examine the bias in the mean regression coefficient in linear mixed models when the random effects variance depends on a between-subject covariate and this dependence is not modeled.
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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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