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Synopsis
Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques to their work.
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About the Author
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.
"About this title" may belong to another edition of this title.
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APPLIED LONGITUDINAL DATA ANALYSIS FOR
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Cambridge University Press, 2023
ISBN 10: 1009288032
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Applied Longitudinal Data Analysis for Medical Science : A Practical Guide
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ISBN 13: 9781009288033
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Applied Longitudinal Data Analysis for Medical Science: A Practical Guide
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Cambridge University Press, 2023
ISBN 10: 1009288032
ISBN 13: 9781009288033
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Applied Longitudinal Data Analysis for Medical Science
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Cambridge University Press, 2023
ISBN 10: 1009288032
ISBN 13: 9781009288033
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Applied Longitudinal Data Analysis for Medical Science: A Practical Guide
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Cambridge University Press, 2023
ISBN 10: 1009288032
ISBN 13: 9781009288033
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Applied Longitudinal Data Analysis for Medical Science : A Practical Guide
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ISBN 10: 1009288032
ISBN 13: 9781009288033
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Applied Longitudinal Data Analysis for Medical Science
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ISBN 10: 1009288032
ISBN 13: 9781009288033
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Applied Longitudinal Data Analysis for Medical Science : A Practical Guide
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Cambridge University Press, 2023
ISBN 10: 1009288032
ISBN 13: 9781009288033
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Applied Longitudinal Data Analysis for Medical Science (Paperback)
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Cambridge University Press, Cambridge, 2023
ISBN 10: 1009288032
ISBN 13: 9781009288033
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Paperback. Condition: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781009288033
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Applied Longitudinal Data Analysis for Medical Science : A Practical Guide
Published by
Cambridge University Press, 2023
ISBN 10: 1009288032
ISBN 13: 9781009288033
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Condition: As New. Unread book in perfect condition. Seller Inventory # 45533903
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