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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/315

Title: Multivariate Probit Analysis: A Neglected Procedure in Medical Statistics
Authors: Lesaffre, Emmanuel
Molenberghs, Geert
Keywords: Clustered data
Multivariate data
Longitudinal data
Categorical data
Issue Date: 1991
Citation: Statistics in Medicine, 10(9). p. 1391-1403
Abstract: The multivariate probit model is designed to regress a vector of correlated quantal variables on a mixture of continuous and discrete predictors. Various applications can be found in the biological, economical and psychosociological literature, but the method is not yet widely used in medical applications. We reintroduce this model thereby showing its usefulness in medical problems. Software for this model is, however, not widely available. We have written a PC program to select predictors and estimate parameters in the multivariate probit framework. The performance and characteristics of the program are briefly illustrated
URI: http://hdl.handle.net/1942/315
DOI: 10.1002/sim.4780100907
ISI #: A1991GC19600006
ISSN: 0277-6715
Type: Journal Contribution
Appears in Collections: Research publications

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