Applied Longitudinal Data Analysis for Medical Science A Practical Guide
Applied Longitudinal Data Analysis for Medical Science: A Practical Guide by Jos W. R. Twisk is a comprehensive resource published by Cambridge University Press on April 27, 2023. This third edition, comprising 300 pages, is designed for non-statisticians and researchers engaged in analyzing longitudinal data from medical studies. The book presents essential techniques for data analysis, utilizing accessible language to cover both simple methods, such as the paired t-test, and more advanced regression-based approaches, including mixed model analysis.
Readers will find a thorough exploration of various data analysis methods, focusing on the interpretation of results across continuous, dichotomous, and categorical outcome variables. The book includes datasets that allow readers to re-analyze examples, enhancing their understanding of the material. Additionally, it offers a practical overview of different software packages, making it a useful manual for those working in medical, epidemiological, and public health contexts without requiring a strong statistical background.
Official synopsis Publisher
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.
Publisher
Topics
FAQ
What is “Applied Longitudinal Data Analysis for Medical Science A Practical Guide” about?
Who is the author of “Applied Longitudinal Data Analysis for Medical Science A Practical Guide”?
When was “Applied Longitudinal Data Analysis for Medical Science A Practical Guide” published?
What is the ISBN for “Applied Longitudinal Data Analysis for Medical Science A Practical Guide”?
What are the book details (language, pages, edition)?
