Published by Cambridge University Press, 2019
ISBN 10: 1108480578 ISBN 13: 9781108480574
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Paperback. Condition: new. Paperback. This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields. This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Add to basketpaperback. Condition: Gut. 234 Seiten; 9781108727761.3 Gewicht in Gramm: 1.
Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Add to basketPaperback. Condition: Brand New. 2nd edition. 234 pages. 9.75x7.00x0.75 inches. In Stock.
Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
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Add to basketKartoniert / Broschiert. Condition: New. This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, an.
Published by Cambridge University Press, Cambridge, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
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Add to basketPaperback. Condition: new. Paperback. This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields. This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press Apr 2019, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware - Emphasizing interpretation of results, this hands-on guide explains why, when, and how to use mixed models with your data.
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Add to basketHardcover. Condition: Brand New. 1st edition. 234 pages. 9.75x7.00x0.75 inches. In Stock.
Published by Cambridge University Press, 2019
ISBN 10: 110872776X ISBN 13: 9781108727761
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 2nd edition. 234 pages. 9.75x7.00x0.75 inches. In Stock. This item is printed on demand.