|
Activity Number:
|
270
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #306038 |
|
Title:
|
A Permutation Test for Dependent Concordance Correlation Coefficients
|
|
Author(s):
|
John M. Williamson*+ and Hung-Mo Lin and Sara Crawford
|
|
Companies:
|
Centers for Disease Control and Prevention and The Pennsylvania State University and The Rollins School of Public Health of Emory University
|
|
Address:
|
4770 Buford Hwy., Atlanta, GA, 30341,
|
|
Keywords:
|
resampling ; agreement ; concordance correlation ; permutation test
|
|
Abstract:
|
The concordance correlation coefficient (CCC) is a popular index for measuring the reproducibility of continuous variables. Inference on correlated CCCs is problematic due to the difficulty in estimating the appropriate standard errors. We propose a resampling approach (permutation test) for conducting hypothesis tests on dependent CCCs. To illustrate the approach, we analyze data from a carotid stenosis screening study.
|
