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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/317

Title: Effect of Dropouts in a Longitudinal Study: An Application of a Repeated Ordinal Model
Authors: Lesaffre, Emmanuel
Molenberghs, Geert
Dewulf, Lode
Keywords: Longitudinal data
Categorical data
Missing data
Issue Date: 1996
Citation: Statistics in Medicine, 15(11). p. 1123-1141
Abstract: An analysis is presented of a longitudinal study of fluvoxamine, an antidepressant drug, with ordinal responses, regressed on a combination of discrete and continuous covariates and with a substantial proportion of dropouts. Classical methods, such as weighted least squares (SAS procedure CATMOD) and logistic regression, are not suitable for the analysis of such data. Instead, we illustrate how a recently introduced model can be used to solve most of the problems posed. The method is likelihood-based and is an extension of the bivariate Dale model to an arbitrary number of outcomes. The method is suitable for several types of designs commonly employed in clinical trials.
URI: http://hdl.handle.net/1942/317
DOI: 10.1002/(SICI)1097-0258(19960615)15:11<1123::AID-SIM228>3.0.CO;2-L
ISSN: 0277-6715
Type: Journal Contribution
Appears in Collections: Research publications

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