37 – Modern Approaches to Analysis of Correlated Data
Analysis of Intraclass Correlation Coefficients for Correlated Binomial Data from Several Treatment Groups
Krishna Saha
Central Connecticut State University
Debaraj Sen
Concordia University
The intraclass correlation coefficient for correlated binary responses arising in many applications of biological investigations is often of interest in measuring the precision of the treatment effect in clinical trials. Although inference procedures concerning the intraclass correlation have been well developed for single-sample problems, little attention has been paid to extend this inference procedures for multiple-sample problems. In this paper, we construct several confidence interval procedures for a common intraclass correlation of several treatment groups. Our simulation results indicate that the generalized pivot based confidence interval approach performs better compared to other asymptotic approaches considered here. An application to a solar protection study is used to illustrate the proposed methods.