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Synopsis
Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: 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. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.
NEW TO THIS EDITION:
* Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor.
* Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books.
* Chapter 21 contrasts testing for equivalence with testing for differences.
* Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons.
* Chapters 24 and 25 review testing for normality and outliers.
* Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models.
* Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression.
* Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes.
* Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48.
* New "Q and A" sections throughout the book review key concepts.
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About the Author
Previously held faculty position in the Department of Pharmacology at the University of California San Diego. Currently, founder of GraphPad Software, Inc.
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Intuitive Biostatistics: a Nonmathematical Guide to Statistical Thinking, 2nd Revised Edition
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