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.

Professor Dr. Shahjahan Khan is an eminent statistician and Emeritus Professor at the University of Southern Queensland (UniSQ), Australia. With a career spanning over 40 years in Australia, Bangladesh, Canada, Saudi Arabia, Oman, Bahrain, he held various esteemed positions, including Founding Professor of Statistics. Dr. Khan is a renowned expert in systematic review and meta-analysis, having conducted workshops and published extensively in these areas. He is a elected Expatriate Fellow of Bangladesh Academy of Sciences. He received several prestigious awards for his research and leadership, including gold medals from ISESCO and ISOSS. As the President of ISOSS, he was the main organizer of successful international conferences in Malaysia, Egypt, Qatar, Indonesia, Bangladesh and Pakistan. Since 2022, he has been serving as the Vice Chancellor of Asian University of Bangladesh. Dr. Khan's exceptional academic excellence, research contributions, and international reputation have cemented his position as a distinguished figure in the field of statistics and health sciences.

Dr. Md Shafiur Rahman is a Junior Associate Professor at the School of Health Innovation, Kanagawa University of Human Services, Japan. He is also affiliated with the Research Center for Child Mental Development and Division of Epidemiology and Biostatistics at Hamamatsu University School of Medicine, and the National Cancer Center, Japan. Dr. Rahman has served as a data scientist for the Asia Cohort Consortium for nearly eight years and was previously an adjunct faculty member at St Luke's International University, Japan. Dr. Rahman's research interests lie in Bayesian statistics, epidemiology, child neurodevelopment, universal health coverage assessment, and systematic review and meta-analysis. He has published extensively in prestigious medical journals and received notable fellowships and research grants for his contributions to the field.