Abstract
In Chapter 4, we introduced several tools, in the context of the Vorozole study, to graphically explore longitudinal data, both from the individual-level standpoint (Figures 4.1 and 4.5) as well as from the population-averaged or group-averaged perspective (Figures 4.2, 4.3, 4.4, and 10.3). These plots are designed to focus on various structural aspects, such as the mean structure, the variance function, and the association structure.
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© 2000 Springer-Verlag New York, Inc.
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(2000). Exploring Incomplete Data. In: Linear Mixed Models for Longitudinal Data. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22775-7_14
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DOI: https://doi.org/10.1007/978-0-387-22775-7_14
Publisher Name: Springer, New York, NY
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