Models for discrete longitudinal data /

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Bibliographic Details
Author / Creator:	Molenberghs, Geert.
Imprint:	New York : Springer Science+Business Media, Inc., c2005.
Description:	1 online resource (xxii, 683 p.) : ill.
Language:	English
Series:	Springer series in statistics Springer series in statistics.
Subject:	Longitudinal method. Multivariate analysis. Multivariate Analysis. Longitudinal Studies. Longitudinal method. Multivariate analysis.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8876438

Hidden Bibliographic Details
Other authors / contributors:	Verbeke, Geert.
ISBN:	9780387289809 0387289801 9786610460632 6610460639 0387251448 (Cloth) 9780387251448 (Cloth)
Notes:	Includes bibliographical references (p. [637]-669) and index. Description based on print version record.
Summary:	Offers a treatment on modeling approaches for non-Gaussian repeated measures. This book shows how various approaches can be implemented within the SAS software package. It provides an introduction to conditional models and the random-effects family, encompassing the beta-binomial model, the probit model, and the generalized linear mixed model.
Other form:	Print version: Molenberghs, Geert. Models for discrete longitudinal data. New York : Springer Science+Business Media, Inc., c2005 0387251448 9780387251448

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