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2023. 3rd Edition. Paperback. . . . . . Books ship from the US and Ireland. Codice articolo V9781009288033
Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques to their work.
Informazioni sull'autore: Jos W. R. Twisk is a Professor in the Department of Epidemiology and Data Science at Amsterdam Umc, Amsterdam, The Netherlands. He specialises in the methodological field of longitudinal data analysis and multilevel/mixed model analysis, and is head of the expertise center for Applied Longitudinal Data Analysis at the Amsterdam Umc.
Titolo: Applied Longitudinal Data Analysis for ...
Casa editrice: Cambridge University Press
Data di pubblicazione: 2023
Legatura: Brossura
Condizione: New
Edizione: terza edizione
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 3rd edition. 300 pages. 10.00x7.00x0.57 inches. In Stock. This item is printed on demand. Codice articolo __1009288032
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 45533903-n
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9781009288033
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Essential for non-statisticians and researchers working with longitudinal data from medical studies, this updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided. Readers will be able to use this book as a practical manual in their everyday work without needing a strong background in statistics. Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques easily to their work. Aimed at non-statisticians and researchers working in medical science and utilising longitudinal studies, the interpretation of the results of various methods of analysis is emphasised. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781009288033
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 45533903
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9781009288033
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorJos W. R. Twisk is a Professor in the Department of Epidemiology and Data Science at Amsterdam Umc, Amsterdam, The Netherlands. He specialises in the methodological field of longitudinal data analysis and multilevel/mi. Codice articolo 782312861
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 45533903
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Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Essential for non-statisticians and researchers working with longitudinal data from medical studies, this updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided. Readers will be able to use this book as a practical manual in their everyday work without needing a strong background in statistics. Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques easily to their work. Aimed at non-statisticians and researchers working in medical science and utilising longitudinal studies, the interpretation of the results of various methods of analysis is emphasised. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781009288033
Quantità: 1 disponibili