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Supported by real-world case studies, this essential textbook provides a detailed overview of the use of biostatistical tools and methods, enabling students and researchers to undertake their own research with confidence and understanding.
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Über die Autorin bzw. den Autor
Vivek Verma, Assistant Professor, Department of Statistics, Assam University Silchar, Assam, India.
Hafiz T.A. Khan, Professor of Public Health and Statistics at the University of West London and a Professorial Fellow at the Oxford Institute of Population Ageing, University of Oxford, UK. For the last three decades, he has been involved in teaching applied statistics, public health, demography, health economics and research methods. He has published more than 260 research articles in various international journals.
Dilip C. Nath, Former Vice-Chancellor of Assam University and Professor of Statistics at Gauhati University, India. He has published more than 200 research papers in reputed national and international journals. His current research interests are in biostatistics, medical statistics, demography and actuarial statistics.
Kenneth C. Land, John Franklin Crowell Professor Emeritus of Sociology at Duke University, where he is also a research professor at the Social Science Research Institute. He worked as faculty in the University of Illinois at Urbana-Champaign and the University of Texas at Austin and has published more than 450 research papers in various international journals.
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Paperback. Zustand: New. Supported by real-world case studies, this essential textbook provides a detailed overview of the use of biostatistical tools and methods, enabling students and researchers to undertake their own research with confidence and understanding.After a general introduction to the field, the book provides a step-by-step description of the essential statistical methods that are foundational to analysing data from clinical trials, epidemiological studies and other health-related research. From basic concepts such as probability and distribution through to hypothesis testing, regression analysis, survival analysis, meta-analysis and systematic reviews, each chapter is designed with a clear pedagogical approach featuring explanatory diagrams, real-life examples and sample problems. Later sections of the book cover clinical trial design and analysis, diagnostic testing, Bayesian methods and machine learning. Through this detailed, comprehensive treatment of the key tools and methods, the book encourages readers to develop their own critical thinking skills, recognising good or bad pieces of research when they see them, asking questions about where evidence and assumptions come from or choosing the most appropriate biostatistical methodologies in their own research.Written by a team of experts with extensive teaching experience in this field, this is the ideal textbook for graduate students and researchers across the biomedical sciences, from public health to epidemiology to clinical medicine. Bestandsnummer des Verkäufers LU-9781032700991