This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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111
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 2, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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| Abstract - #307027 |
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Title:
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Inference for Clustered Data with Potentially Informative Cluster Size: An Overview
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Author(s):
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Somnath Datta*+ and Jaakko Nevalainen and Hannu Oja
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Companies:
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University of Louisville and University of Turku and University of Tampere
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Address:
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School of Public Health and Information Science, Louisville, KY, 40202,
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Keywords:
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marginal models ;
inverse weighting ;
non-ignorable cluster size
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Abstract:
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We explain the problem of analyzing clustered data when the size of the cluster is non-constant and may be related to the outcome of interest. In such cases, inference for marginal models with standard methods may lead to biased answers. We present correct inference procedures, both nonparametric and semi-parametric, in a number of estimation and testing problems.
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