e-journal

The analysis of multivariate longitudinal data: A review

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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.

Keywords: Mixed models, random effects, shared parameters, marginal models, conditional models, latent variables

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Ketersediaan

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Informasi Detail

Judul Seri

Statistical Methods in Medical Research

No. Panggil

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Penerbit

New York : SAGE., 2014

Deskripsi Fisik

Statistical Methods in Medical Research 2014, Vol. 23(1) 42–59

Bahasa

English

ISBN/ISSN

DOI: 10.1177/0962280

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

2014, Vol. 23(1)

Subjek

METODOLOGI PENELITIAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

agus

Versi lain/terkait

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