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  3. Applied Longitudinal Data Analysis for Medical Science
  • Cited by 3
Publisher:
Cambridge University Press
Online publication date:
April 2023
Print publication year:
2023
Online ISBN:
9781009288002
DOI:
https://doi.org/10.1017/9781009288002
Subjects:
Life Sciences, Epidemiology Public Health and Medical Statistics, Medicine, Quantitative Biology, Biostatistics and Mathematical Modeling
Information

Book 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.

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