The analysis of multivariate longitudinal data: a review.

Published

Journal Article (Review)

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 can only 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.

Full Text

Duke Authors

Cited Authors

  • Verbeke, G; Fieuws, S; Molenberghs, G; Davidian, M

Published Date

  • February 2014

Published In

Volume / Issue

  • 23 / 1

Start / End Page

  • 42 - 59

PubMed ID

  • 22523185

Pubmed Central ID

  • 22523185

Electronic International Standard Serial Number (EISSN)

  • 1477-0334

International Standard Serial Number (ISSN)

  • 0962-2802

Digital Object Identifier (DOI)

  • 10.1177/0962280212445834

Language

  • eng