Work

The analysis of multivariate longitudinal data: A review

Year: 2012

Type: review

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.

Source: Statistical Methods in Medical Research

DOI: 10.1177/0962280212445834

Authors: Geert Verbeke, Steffen Fieuws, Geert Molenberghs, Marie Davidian

Institutions: Hasselt University, KU Leuven, North Carolina State University

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Cancer Institute, National Institute of Allergy and Infectious Diseases

Awards: Flexible Statistical Methods for Biomedical Data, Statistical Methods for AIDS Clinical Trials, Statistical Methods for Cancer Clinical Trials