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Abstract Details
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Activity Number:
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291
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #302003 |
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Title:
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Benchmarking the Mixed Linear Model for Longitudinal Data
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Author(s):
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Thuan Nguyen*+
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Companies:
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Oregon Health & Science University
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Address:
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Dept. of Public Health & Preventive Medicine, Portland, OR, 97239-2966, USA
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Keywords:
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Longitudinal Data ;
Linear Mixed Models ;
Missing Values
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Abstract:
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We propose a new method of handling missing values in longitudinal data under the linear mixed model assumption. The new method combines the complete-data linear mixed model with benchmark equations that involve both the complete and incomplete data. Simulation studies show that the new method improve the efficiency of inference when a significant proportion of the data are missing.
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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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