Please use this identifier to cite or link to this item:
Title: Estimation of intra-class correlation parameter for correlated binary data in common correlated models
Authors: ZHANG HAO
Keywords: Intra-Class Correlation Parameter Binary Data
Issue Date: 5-Dec-2005
Citation: ZHANG HAO (2005-12-05). Estimation of intra-class correlation parameter for correlated binary data in common correlated models. ScholarBank@NUS Repository.
Abstract: In common correlated models, the intra-class correlation parameter (ICC) provides a quantitative measure of the similarity between individuals within the same cluster and is of increasing interest and important use in biological and toxicological studies. The thesis mainly compares four estimators for the ICC parameter, including a new estimator that is based on the Cholesky decomposition. The new estimator is a specification of the UJ method proposed by Wang and Carey (2004) and has not been considered before. Analytic expressions of the asymptotic variances of the four estimators are obtained and extensive simulation studies are carried out. The bias, standard deviation, the mean square error and the relative efficiency of the estimators are compared. The results show that the new estimator performs well when the mean and intra-class correlation are small. Two real examples are used to investigate and compare the performance of these estimators in practice.
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Thesis_etd.pdf382.95 kBAdobe PDF



Page view(s)

checked on Oct 7, 2018


checked on Oct 7, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.