Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/11213
Title: | Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models | Authors: | VANGENEUGDEN, Tony MOLENBERGHS, Geert LAENEN, Annouschka GEYS, Helena BEUNCKENS, Caroline SOTTO, Cristina |
Issue Date: | 2010 | Publisher: | TAYLOR & FRANCIS INC | Source: | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 39 (19). p. 3540-3557 | Abstract: | This work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical trials are used to estimate the intra-class coefficient of reliability for a binary response. Additionally, the correlation between such a binary response and a continuous response is derived to evaluate the criterion validity of the binary response variable and the established continuous response variable. | Notes: | [Vangeneugden, Tony] Johnson & Johnson, Tibotec, Mechelen, Belgium. [Vangeneugden, Tony; Molenberghs, Geert; Laenen, Annouschka; Geys, Helena; Beunckens, Caroline; Sotto, Cristina] Hasselt Univ, Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Leuven, Belgium. [Geys, Helena] Johnson & Johnson, Janssen Pharmaceut, Beerse, Belgium. [Sotto, Cristina] Univ Philippines, Sch Stat, Quezon City 1101, Philippines. tvangene@tibbe.jnj.com | Keywords: | Binary data; Intraclass correlation; Random effects; Reliability; Variances;binary data; intraclass correlation; random effects; reliability; variances | Document URI: | http://hdl.handle.net/1942/11213 | ISSN: | 0361-0926 | e-ISSN: | 1532-415X | DOI: | 10.1080/03610920903249568 | ISI #: | 000281581300011 | Rights: | Copyright © Taylor & Francis Group, LLC | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2011 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
tvgetal04[1].pdf | Peer-reviewed author version | 172.38 kB | Adobe PDF | View/Open |
vangeneugden2010.pdf Restricted Access | Published version | 168.03 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.