Abstract Details
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Activity Number:
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125
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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SSC
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Abstract #312614
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Title:
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Analysis of Mover-Stayer Models with Misclassified States
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Author(s):
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Feng He*+ and Grace Yi
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Companies:
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University of Waterloo and University of Waterloo
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Keywords:
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Markov model ;
panel data ;
mover-stayer model ;
misclassification ;
expectation maximization algorithm
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Abstract:
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The hidden mover-stayer model is proposed to provide a solution to a type of heterogeneity where the population consists of both movers and stayers in the presence of misclassification. The inference procedures based on the likelihood and pairwise likelihood approaches are developed for the proposed model. The performance of the likelihood and pairwise likelihood methods is investigated and compared through simulation studies. The proposed methods are illustrated on the Waterloo smoking prevention study.
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Authors who are presenting talks have a * after their name.
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