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This book presents a variety of statistical methods for analyzing medical data, ranging from basic to advanced techniques, utilizing the latest versions of S-PLUS. Each chapter features multiple sets of medical data analyzed through graphical and model-fitting approaches. At the conclusion of each chapter, S-PLUS script files are provided, allowing readers to replicate the analyses and graphics, with downloadable files available online. The book aims to demonstrate S-PLUS as a robust tool for conducting diverse statistical analyses, from simple inference to complex model fitting, while also generating informative graphics. These methods are increasingly vital for managing data from various medical investigations, including epidemiological studies and clinical trials. The integration of real data examples with theoretical background makes this resource valuable for both students and researchers. Exercises at the end of each chapter enhance students' proficiency in using S-PLUS's command line language. Professor Brian Everitt, Head of the Department of Biostatistics and Computing at the Institute of Psychiatry in London, and Sophia Rabe-Hesketh, a senior lecturer in the same department, bring their expertise to this comprehensive guide, with Professor Everitt having authored over 30 statistics books, including two previously co-authored with Dr. Rabe-Hesketh.
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Analyzing medical data using S-PLUS, Brian Everitt
- Langue
- Année de publication
- 2001
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