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Models for Discrete Longitudinal Data

Models for Discrete Longitudinal Data

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Springer Series in Statistics

Models for Discrete Longitudinal Data

Geert Molenberghs | Geert Verbeke

Mathematics / Probability & Statistics / General

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.


Publication Date: 04 August 2005
Publisher: Springer New York
Imprint: Springer
ISBN-13: 9780387251448
Format: Hardback
Page Count: 687

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