Statistics in Medicine

Bys: Riffenburgh, Robert H. and Gillen, Daniel L.

Statistics in Medicine, 5th Edition serves as an essential resource for health care students, professionals and researchers seeking to understand the application of statistical methods in medical research. This comprehensive text encompasses a wide range of topics, from foundational concepts to advanced techniques, ensuring that readers are well-equipped to design, analyse, and interpret health-related studies. The book includes updated chapters on critical subjects such as missing data, regression models for discrete outcomes, polytomous response regression, classification and regression trees, and the integration of machine learning and AI with statistical methodologies. Each chapter provides practical examples and step-by-step methods, helping readers understand complex concepts while reinforcing learning through exercises and real-world applications. For the academic audience, this book offers a user-friendly approach to medical statistics, making it accessible even to those with limited statistical training. By bridging the gap between theory and practice, it empowers health care professionals to conduct rigorous research, interpret findings accurately, and contribute meaningfully to advancements in medical science.

• Format: Hardcover
• Language: English
• ISBN: 0443490880
• ISBN13: 9780443490880
• Release Date: May 2027
• Publisher: Academic Press
• Length: 825 Pages