This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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191
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #307287 |
Title:
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Equivalence of Conditional Logistic Regression and Ordinary Logistic Regression via Infinite Replication of Observations
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Author(s):
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Zhulin He*+ and Babette Brumback
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Companies:
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University of Florida and University of Florida
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Address:
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PO Box 100231, Gainesville, FL, 32610-0231,
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Keywords:
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conditional logistic regression ;
complex survey data ;
pseudosample ;
matched-pairs ;
Legendre polynomials ;
ordinary differential equations
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Abstract:
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This research is motivated by the need to extend conditional logistic regression (CLR) for complex survey data. We considered scaling the survey weights to be integers and creating a pseudosample by replicating observations according the weights; then, we used CLR with the pseudosample. However, intuition suggests that this approach may be biased, because large-scale replication might approximate inclusion of a fixed effect for each cluster in the logistic regression. For the simple matched pairs design, we show that replicating observations k times and using CLR results in an estimator whose limit as k approaches infinity is the ordinary MLE with a fixed effect for each pair. Simulations are also presented.
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