JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 523
Type: Contributed
Date/Time: Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #305921
Title: Assessing Correlation of Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model
Author(s): Hsiang-chun Chen*+ and Thomas E. Wehrly
Companies: Texas A&M University and Texas A&M University
Address: Department of Statistics, Texas A&M University, College Station, TX, 77843, United States
Keywords: clustered data ; multivariate generalized linear mixed model ; correlation

The classic concordance correlation coefficient measures the agreement between two variables. In recent study, concordance correlation coefficients have been generalized to deal with responses from a distribution from the exponential family using the univariate generalized linear mixed model. Multivariate data arise when responses on the same unit are measured repeatedly. The relationship among these responses is often of interest. In the clustered mixed data, the correlation could present between repeated measurements either within the same observer or between different observers on the same subjects. This study proposes a series of indices, intra, inter and total correlation coefficients, to measure the correlation under various circumstances in a multivariate generalized linear mixed model, especially for joint modeling of clustered count and continuous outcomes. The proposed indices are natural extension of the concordance correlation coefficient. We demonstrate the methodology with a simulation study. A case example is provided to illustrate the use of these proposed indices.

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 2012 program

2012 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.