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Models for Discrete Longitudinal Data

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Models for Discrete Longitudinal Data Synopsis

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package. The text is organized so the reader can skip the software-oriented chapters and sections without breaking the logical flow.

About This Edition

ISBN: 9781441920430
Publication date:
Author: Geert Molenberghs, Geert Verbeke
Publisher: Springer an imprint of Springer New York
Format: Paperback
Pagination: 687 pages
Series: Springer Series in Statistics
Genres: Probability and statistics
Stochastics