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Longitudinal data analysis (repeated measures) in clinical trials

Longitudinal data analysis (repeated measures) in clinical trials Longitudinal data is often collected in clinical trials to examine the effect of treatment on the disease process over time. This paper reviews and summarizes much of the methodological research on longitudinal data analysis from the perspective of clinical trials. We discuss methodology for analysing Gaussian and discrete longitudinal data and show how these methods can be applied to clinical trials data. We illustrate these methods with five examples of clinical trials with longitudinal outcomes. We also discuss issues of particular concern in clinical trials including sequential monitoring and adjustments for missing data. A review of current software for analysing longitudinal data is also provided. Published in 1999 by John Wiley & Sons, Ltd. This article is a US Government work and is the public domain in the United States. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistics in Medicine Wiley

Longitudinal data analysis (repeated measures) in clinical trials

Statistics in Medicine , Volume 18 (13) – Jul 15, 1999

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References (136)

Publisher
Wiley
Copyright
Published in 1999 by John Wiley & Sons, Ltd. This article is a US Government work and is the public domain in the United States
ISSN
0277-6715
eISSN
1097-0258
DOI
10.1002/(SICI)1097-0258(19990715)18:13<1707::AID-SIM138>3.0.CO;2-H
Publisher site
See Article on Publisher Site

Abstract

Longitudinal data is often collected in clinical trials to examine the effect of treatment on the disease process over time. This paper reviews and summarizes much of the methodological research on longitudinal data analysis from the perspective of clinical trials. We discuss methodology for analysing Gaussian and discrete longitudinal data and show how these methods can be applied to clinical trials data. We illustrate these methods with five examples of clinical trials with longitudinal outcomes. We also discuss issues of particular concern in clinical trials including sequential monitoring and adjustments for missing data. A review of current software for analysing longitudinal data is also provided. Published in 1999 by John Wiley & Sons, Ltd. This article is a US Government work and is the public domain in the United States.

Journal

Statistics in MedicineWiley

Published: Jul 15, 1999

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