This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 191
Type: Contributed
Date/Time: Monday, August 2, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #307287
Title: Equivalence of Conditional Logistic Regression and Ordinary Logistic Regression via Infinite Replication of Observations
Author(s): Zhulin He*+ and Babette Brumback
Companies: University of Florida and University of Florida
Address: PO Box 100231, Gainesville, FL, 32610-0231,
Keywords: conditional logistic regression ; complex survey data ; pseudosample ; matched-pairs ; Legendre polynomials ; ordinary differential equations
Abstract:

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.


The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program




2010 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.