Springer Statistical Methods and Models for Health and Clinical Studies

This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks. By using real-life examples and motivational scenarios from health studies, the book explains all relevant concepts and methods in an engaging and accessible manner, avoiding unnecessary mathematical jargon. Every chapter of the book starts with a set of learning outcomes to guide the researchers and users. Special attention is given to explaining statistical concepts with examples from various health areas, ensuring clarity and understanding. The book covers a wide range of topics, including data description and collection, study designs, inferential methods, statistical model fittings, and data analysis using SPSS, R, and STATA codes. Readers are provided with step-by-step guidance with illustrations, making it easier to follow along and apply the techniques discussed, and interpretation of results in the context of the problem. The book highlights the importance of statistics in solving health and clinical problems, equipping readers with the essential tools and strategies needed for evidence-based decision-making. By focusing on practical examples and real-world applications, this book serves as an invaluable resource for health professionals and researchers offering valuable insights and practical advice to help navigate the complexities of statistical analysis in the health and clinical fields.