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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14735

Title: The analysis of multivariate longitudinal data: a review
Authors: Verbeke, Geert
Fieuws, Steffen
Molenberghs, Geert
Davidian, Marie
Issue Date: 2014
Citation: Statistical methods in medical research, 23 (1), p. 42-59.
Abstract: Longitudinal experiments often involve multiple outcomes measured repeatedly within a set of study participants. While many questions can be answered by modeling the various outcomes separately, some questions canonly be answered in a joint analysis of all of them. In this article, we will present a review of the many approaches proposed in the statistical literature. Four main model families will be presented, discussed and compared. Focus will be on presenting advantages and disadvantages of the different models rather than on the mathematical or computational details.
Notes: Reprint Address: Verbeke, G (reprint author) - Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, B-3000 Louvain, Belgium. E-mail Addresses:geert.verbeke@med.kuleuven.be
URI: http://hdl.handle.net/1942/14735
DOI: 10.1177/0962280212445834
ISI #: 000330776100003
ISSN: 0962-2802
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

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