Abstract Details
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Activity Number:
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405
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #312335
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View Presentation
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Title:
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Semiparametric Estimation for Recurrent Event Data from Complex Survey Designs
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Author(s):
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Russell Stocker*+ and Akim Adekpedjou
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Companies:
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Indiana University of Pennsylvania and Missouri University of Science & Technology
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Keywords:
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Recurrent events ;
Complex survey data ;
Counting processes
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Abstract:
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We propose a model for analyzing recurrent event data obtained from a complex survey design. The survey design consists of a finite population that is stratified; where each stratum contains primary and secondary sampling units. The models assumes the form of a stratified Cox model where the baseline intensities differ across the strata. A partial maximum likelihood estimator of the regression parameter and Nelson-Aalen type estimators of the baseline cumulative intensities are given. Asymptotic properties of the estimators are established and the statistical analysis of a real data set is used to illustrate the model.
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Authors who are presenting talks have a * after their name.
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