The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
139
|
Type:
|
Contributed
|
Date/Time:
|
Monday, August 1, 2011 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #300982 |
Title:
|
A Goodness-of-Fit Test of Logistic Regression Models for Case-Control Data with Measurement Errors
|
Author(s):
|
Ganggang Xu*+ and Suojin Wang
|
Companies:
|
Texas A & M University and Texas A & M University
|
Address:
|
Department of Statistics, College station, TX, 77843,
|
Keywords:
|
Case-control study ;
Conditional score ;
Empirical likelihood ;
Logistic regression ;
Measurement error
|
Abstract:
|
We study the problem of goodness-of-fit tests for logistic regression models for case-control data when some covariates are measured with errors.We first study the applicability of traditional test methods for this problem by simply ignoring measurement errors and show that in some scenarios they are still effective despite the inconsistency of the parameter estimators. We then develop a test procedure based on Zhang (2001) that can simultaneously test the validity of using logistic regression and correct the bias in parameter estimators for case-control data with nondifferential classical additive normal measurement error. Instead of using the information matrix considered by Zhang (2001), our test statistic uses a collection of preselected functions to reduce dimensionality. Simulation studies and an application are carried out to illustrate the usefulness of the test.
|
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 2011 program
|
2011 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.