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The analysis of multivariate longitudinal data: A review

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Verbeke, Geert, Fieuws, Steffen, Molenberghs, Geert, Davidian, Marie·2014·Statistical Methods in Medical Research

DOI 10.1177/0962280212445834PMC PMC3404254

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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 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.

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Authors: Verbeke, G., Fieuws, S., Molenberghs, G., & Davidian, M.
Affiliations: Hasselt University (BE)
KU Leuven (BE)
North Carolina State University (US)
Corresponding author: Verbeke, Geert
ORCID: Verbeke, Geert
Fieuws, Steffen
Molenberghs, Geert
Davidian, Marie
Venue: Statistical Methods in Medical Research
Publisher: SAGE Publications
Published: 2012-04-20
Volume: 23
Issue: 1
Pages: 42-59
ISSN: 0962-2802 (ISSN-L)
1477-0334
DOI: 10.1177/0962280212445834
PMC: PMC3404254
OpenAlex: W2004277545
Cited by: 290
References: 102
Citations by year: 2026: 8 · 2025: 25 · 2024: 17 · 2023: 19 · 2022: 30 · 2021: 43 · 2020: 34 · 2019: 26 · 2018: 19 · 2017: 19 · 2016: 20 · 2015: 14 · 2014: 13 · 2013: 3
FWCI: 9.16
Type: journal article
Language: en
Open access: green
europepmc.org
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Statistical Methods in Medical Research (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Document Server@UHasselt (UHasselt) (submittedVersion, other-oa)
Lirias (submittedVersion)
Funders: National Cancer Institute (R01CA085848, P01CA142538)
National Institute of Allergy and Infectious Diseases (R37AI031789)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Keywords: multivariate longitudinal data, joint modeling, multiple outcomes, repeated measures, longitudinal experiment, model comparison
MeSH terms: Hearing, Humans, Longitudinal Studies, Models, Statistical, Multivariate Analysis

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The analysis of multivariate longitudinal data: A review

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