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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2045

Title: Applying concepts of generalizability theory on clinical trial data to investigate sources of variation and their impact on reliability
LAENEN, Annouschka
GEYS, Helena
RENARD, Didier
Issue Date: 2005
Citation: BIOMETRICS, 61(1). p. 295-304
Abstract: This work aims at applying concepts of generalizability theory to data resulting from clinical trials. The focus is to study the sources of variance and their impact on the reliability and generalizability of a psychiatric measurement scale. The goal is to identify, measure, and thereby potentially find strategies to reduce the influence of these sources on the measurement in question for future trials. This approach was originally devised by Cronbach and his associates and is known as generalizability theory. This work shows how full modeling power in mixed models can be used to study generalizability using data from five double-blind randomized clinical trials, comparing the effects of risperidone to conventional antipsychotic agents for the treatment of chronic schizophrenia.
Notes: Johnson & Johnson Pharmaceut Res & Dev, B-2340 Beerse, Belgium. Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. Eli Lilly & Co, B-1348 Louvain, Belgium.Vangeneugden, T, Johnson & Johnson Pharmaceut Res & Dev, B-2340 Beerse, Belgium.tvangene@tibbe.jnj.com
URI: http://hdl.handle.net/1942/2045
DOI: 10.1111/j.0006-341X.2005.031040.x
ISI #: 000227576600035
ISSN: 0006-341X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2006
Appears in Collections: Research publications

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