Abstract
In the first part of this book (Chapters 3 to 13), emphasis was on the formulation and the fitting of, as well as on inference and diagnostics for linear mixed models in general. Later (Chapters 14 to 22), the problem of missing data was discussed in full detail, with emphasis on how to obtain valid inferences from observed longitudinal data and how to perform sensitivity analyses with respect to assumptions made about the dropout process.
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© 2000 Springer-Verlag New York, Inc.
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(2000). Design Considerations. 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_23
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DOI: https://doi.org/10.1007/978-0-387-22775-7_23
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95027-3
Online ISBN: 978-0-387-22775-7
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