Mixed Effects Models involve measurements made over time on an individual in an experiment. This book presents the most recent techniques for analyzing this type of data in the statistical software program S-PLUS. It will be of interest to researchers and graduate students in statistics, biostatistics, and epidemiology.
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An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. The authors present a unified model-building strategy for both models and apply this to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. Much emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling software, and theory makes the book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course.
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Paperback. Etat : new. Paperback. Over 170 figures are included in the book. the material covered in the book is self-contained . The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models. (E.M.Psyadlo, zbMATH 0953.62065, 2022) Over 170 figures are included in the book. the material covered in the book is self-contained . The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781475781441
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data.An overview of the theory and applica. N° de réf. du vendeur 4208042
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Over 170 figures are included in the book. . the material covered in the book is self-contained . . The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models.' (E.M.Psyadlo, zbMATH 0953.62065, 2022) 548 pp. Englisch. N° de réf. du vendeur 9781475781441
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