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, and the integration of machine learning and AI with statistical methodologies. Each chapter provides practical examples and step-by-step methodologies, enhancing the reader's understanding of 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.

• Provides an extensive overview of statistical methods relevant to medical research, ensuring that readers grasp fundamental concepts and advanced techniques crucial for designing, analyzing, and interpreting studies in health care
• Incorporates medical examples, step-by-step methodologies, and check-yourself exercises, making complex statistical concepts accessible to readers with minimal statistical background, thereby facilitating effective learning and application
• Introduces new chapters on contemporary topics such as missing data, regression models for discrete outcomes, and the interplay between statistics, machine learning, and AI, addressing the evolving landscape of medical statistics and research methodologies