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http://hdl.handle.net/1942/9221
Title: | Generalizability in non-Gaussian longitudinal clinical trial data based on generalized linear mixed models | Authors: | VANGENEUGDEN, Tony MOLENBERGHS, Geert LAENEN, Annouschka ALONSO ABAD, Ariel GEYS, Helena |
Issue Date: | 2007 | Publisher: | TAYLOR & FRANCIS LTD | Source: | JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 18(4). p. 691-712 | Abstract: | This work investigates how generalizability, an extension of reliability, can be defined and estimated based on longitudinal data sequences resulting from, for example, clinical studies. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind, randomized clinical trials into schizophrenia motivate the research and are used to estimate generalizability for a binary response parameter. | Keywords: | binary data; generalizability; intraclass correlation; random effects; reliability; variance component | Document URI: | http://hdl.handle.net/1942/9221 | ISSN: | 1054-3406 | e-ISSN: | 1520-5711 | DOI: | 10.1080/10543400802071386 | ISI #: | 000257438900010 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2009 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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GeertMolenberghs7.pdf | Peer-reviewed author version | 208.22 kB | Adobe PDF | View/Open |
a.pdf Restricted Access | Published version | 176.36 kB | Adobe PDF | View/Open Request a copy |
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