Applied Longitudinal Data Analysis for Medical Science: A Practical Guide by Jos

Description: Applied Longitudinal Data Analysis for Medical Science by Jos W.R. Twisk 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography 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. Table of Contents 1. Introduction; 2. Continuous outcome variables; 3. Continuous outcome variables – regression based methods; 4. The modelling of time; 5. Models to disentangle the between- and within-subjects relationship; 6. Causality in observational longitudinal studies; 7. Dichotomous outcome variables; 8. Categorical and count outcome variables; 9. Outcome variables with floor or ceiling effects; 10. Analysis of longitudinal intervention studies; 11. Missing data in longitudinal studies; 12. Sample size calculations; 13. Software for longitudinal data analysis. Promotional Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques to their work. Details ISBN1009288040 Author Jos W.R. Twisk Short Title Applied Longitudinal Data Analysis for Medical Science Publisher Cambridge University Press Language English Year 2023 Edition 3rd ISBN-10 1009288040 ISBN-13 9781009288040 Format Hardcover Subtitle A Practical Guide Pages 300 Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Illustrations Worked examples or Exercises AU Release Date 2023-04-27 NZ Release Date 2023-04-27 Publication Date 2023-04-27 UK Release Date 2023-04-27 Edition Description 3rd Revised edition Alternative 9781009288002 DEWEY 614.40727 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:141847553;

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