Abstract Details
Activity Number:
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194
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #309420 |
Title:
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An Assessment of the Impact of Missing Values on Statistical Methods for Binary Repeated Measures and Hierarchical Data
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Author(s):
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Elmabrok Masaoud*+ and Henrik Stryhn
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Companies:
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and University of Prince Edward Island
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Keywords:
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Simulation ;
Missing values ;
Repeated Measures data ;
Binary data
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Abstract:
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A simulation study was targeted at data on high somatic cell counts (SCC) in milk samples of dairy cattle. Missing values were simulated from a variant of Diggle's (1994) logistic random effects model. Three types of missing values corresponded to missingness patterns present in a real SCC dataset were simulated: delayed entry, drop-outs and intermittent missing values.
Results showed that ALR, PQL, ML and MCMC estimation procedures performed well and produced estimates with small relative bias.
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Authors who are presenting talks have a * after their name.
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