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Marginal models: for dependent, clustered, and longitudinal categorical data

By: Bergsma, Wicher.
Material type: materialTypeLabelBookSeries: Statistics for social and behavorial sciences. Publisher: New York Springer Science+Business Media 2009Description: xi, 268 p. : ill. ; 24 cm.ISBN: 9780387096094.Subject(s): Social sciences -- Mathematical models | Social sciences -- Research | Social sciences -- Statistical methodsDDC classification: 300.15118 Summary: Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. (http://www.springer.com/statistics/statistical+theory+and+methods/book/978-0-387-09609-4)
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Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. (http://www.springer.com/statistics/statistical+theory+and+methods/book/978-0-387-09609-4)

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