The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis.Very broad topics in medical statistics are addressed. Not only is a rigorous theoretical background emphasized but motivation, applications, examples and computational aspects of the related statistical methods are given adequate weightage. The volume thus provides a convenient starting point for readers who want to be familiar with the most current status of an area of interest.
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"Overall the book covers a wide variety of applications. Each method is presented in sufficient depth to allow the reader to understand when the method(s) can be used ... this book would be a useful resource for any practitioner in medical research." -- Statistical Methods in Medical Research
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