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

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