Abstract Details
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Activity Number:
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331
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #313758
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Title:
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Test Linearity Assumption in Generalized Linear Mixed-Effects Models Versus the Smooth Alternative
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Author(s):
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Changming Xia*+ and Hua Liang
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Companies:
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University of Rochester and George Washington University
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Keywords:
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mixed-effects ;
generalized linear model ;
semiparametric regression ;
smoothing splines ;
penalized quasi-likelihood ;
longitudinal analysis
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Abstract:
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Linearity is a common assumption for fitting the generalized linear mixed-effects models. We test this assumption versus the smooth alternatives by fitting a broader class of generalized semiparametric linear mixed-effects model. The Bayesian confidence bands are visually inspected, and approximate p-values are obtained by using the bootstrap method. Simulation results are provided.
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Authors who are presenting talks have a * after their name.
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