Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking (英語) ペーパーバック – 2013/12/13
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Thoroughly revised and updated, the third edition of Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking retains and refines the core perspectives of the previous editions: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes.
With its engaging and conversational tone, this unique book provides a clear introduction to statistics for undergraduate and graduate students in a wide range of fields and also serves as a statistics refresher for working scientists. It is especially useful for those students in health-science related fields who have no background in biostatistics.
Intuitive Biostatistics is a beautiful book that has much to teach experimental biologists of all stripes. Motulsky has written thoughtfully, with compelling logic and wit. He teaches by example what one may expect of statistical methods and, perhaps just as importantly, what one may not expect of them. He is to be congratulated for this work, which will surely be valuable and perhaps even transformative for many of the scientists who read it. (Bruce Beutler, 2011 Nobel Laureate, Physiology or Medicine, and Director, Center for the Genetics of Host Defense, UT Southwestern Medical Center)
Let's face it. Most statistics textbooks intimidate the average student. Motulsky's Intuitive Biostatistics, however, is written in a welcoming tone. It takes the static out of statistics. This textbook covers a wide spectrum of statistical concepts in a way that will benefit readers with varying levels of quantitative backgrounds. (Heather Hoffman, George Washington University)
Motulsky does not include mathematical equations. Rather, he focuses on interpreting statistical concepts, common pitfalls, and challenges the reader to think critically.
Highly recommended for clinical, medical, and pharmaceutical professionals responsible for reviewing clinical data. Even for readers confident in their statistics knowledge, this is a great refresher. I have expanded my biostatistics acumen thanks to this book.
This text is daily my go-to reference guide.