Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking

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About Intuitive Biostatistics: A Nonmathematical Guide To

Product Description Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data. This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before. The text is also an excellent resource for professionals in labs, acting as a conceptually oriented and accessible biostatistics guide. With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. Review "This splendid book meets a major need in public health, medicine, and biomedical research training. It is a user-friendly biostatistics text for non-mathematicians that clearly explains how to make sense of statistical results, avoid common mistakes in data analysis, avoid being confused by statistical nonsense, and how to make research more reproducible. Students may enjoy statistics for the first time!" ―Gilbert S. Omenn, University of Michigan "This book applies what I would call 'scientific common sense' to the confusing world of statistical analysis and interpretation. If you want to really understand what a p-value is, read this book." ―Louis G. Zachos, University of Mississippi "Intuitive Biostatistics places statistical concepts and practical issues of data analysis within an understandable light. The textbook helps the reader grasp the fundamentals and the pitfalls of data presentation and analysis. It should be on the 'must-read' list of clinicians, journal reviewers, editors, and other consumers of scientific literature." ―John D. Bonagura, The Ohio State University "I have already recommend the book to many colleagues. A concise, well written, and at times funny book that clearly explains the most important conceptual aspects about statistics, emphasizing proper interpretation of results and common mistakes to avoid." ―Walter E. Schargel, The University of Texas at Arlington About the Author Harvey Motulsky is the CEO and Founder of GraphPad Software, Inc. He wrote the first edition of this text while on the faculty of the Department of Pharmacology at University of California, San Diego.