Abstract
In health-related studies, researchers often collect data from the same unit (or subject) repeatedly over time. Measurements may be taken at different times for different subjects. These are called longitudinal studies. Diggle, Liang, and Zeger (1994) offer an excellent exposition of the issues related to the design of such studies and the analysis of longitudinal data. They also provide many interesting examples of data. We refer to their book for a thorough treatment of the topic. The purpose of this chapter is to introduce the methods based on recursive partitioning and to compare the analyses of longitudinal data using different approaches.
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© 1999 Springer Science+Business Media New York
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Zhang, H., Singer, B. (1999). Analysis of Longitudinal Data. In: Recursive Partitioning in the Health Sciences. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3027-2_10
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DOI: https://doi.org/10.1007/978-1-4757-3027-2_10
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3029-6
Online ISBN: 978-1-4757-3027-2
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