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Amazon.com Product Description (ISBN 0387251448, Hardcover)
The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.
Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package.
The authors received the American Statistical Association's Excellence in Continuing Education Award based on short courses on longitudinal and incomplete data at the Joint Statistical Meetings of 2002 and 2004.
(retrieved from Amazon Thu, 12 Mar 2015 18:16:54 -0400)
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.
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