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Authored by Jos W. R. Twisk, this comprehensive guide is a must-have for non-statisticians and researchers working with longitudinal data from medical studies.
This updated edition breaks down complex data analysis techniques into easily understandable language, making it accessible to researchers without a strong statistical background. From simple methods like paired t-tests and summary statistics to advanced regression-based methods, including mixed model analysis, this book covers it all.
The book places emphasis on interpreting results from various methods, covering data analysis with continuous, dichotomous, categorical, and other outcome variables. By providing real-world datasets, readers can re-analyze examples alongside the author, solidifying their understanding of the material.
The book concludes with an extensive, practical comparison of different software packages, enabling researchers to select the best tool for their specific needs.
This comprehensive guide serves as a practical manual for researchers, allowing them to master longitudinal data analysis without requiring advanced statistical knowledge.
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