Intuitive Biostatistics

Author: Harvey Motulsky
Edition: 2nd Revised & enlarged
Publisher: Oxford University Press, USA
Binding: Paperback
ISBN: 0199730067

Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking

Overview

Intuitive Biostatistics is both an introduction and review of statistics. Medical books Intuitive Biostatistics. Compared to other books, it has:

• Breadth rather than depth. It is a guidebook, not a cookbook.
• Words rather than math. It has few equations Medical books Intuitive Biostatistics: A Non. 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. *Author: Motulsky, Harvey *Binding Type: Paperback *Number of Pages: 447 *Publication Date: 2010/01/01 *Language: English *Dimensions: 9.20 x 6.10 x 0.60 inches
  
  

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  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 misinter
  
  
  
  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 misinterpr
  
  
  
  Oxford Univ Pr 9780199730063 Intuitive Biostatistics By Motulsky, Harvey Description 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 statisti
  
  
  
  Store Search search Title, ISBN and Author Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking by Harvey Motulsky Estimated delivery 3-12 business days Format Paperback Condition Brand New 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 assumptio
  
  
  
  
  

  Medical Book Intuitive Biostatistics

  
  
  Compared to other books, it has:

• Breadth rather than depth. It is a guidebook, not a cookbook.
• Words rather than math. It has few equations.
• Explanations rather than recipes. This book presents few details of statistical methods and only a few tables required to complete the calculations.

Who is it for?

I wrote Intuitive Biostatistics for three audiences:

• Medical (and other) professionals who want to understand  the statistical portions of journals they read. These readers don't need to analyze any data, but need to understand analyses published by others.
• Undergraduate and graduate students, post-docs and researchers who will analyze data. This book explains general principles of data analysis, but it won't teach you how to do statistical calculations or how to use any particular statistical program. 
• Scientists who consult with statisticians. Statistics often seems like a foreign language, and this text can serve as a phrase book to bridge the gap  between scientists and statisticians.

What's new in the second edition?

Though the spirit of the first edition remains, very few of its words do. It is hard to explain what is new in this edition, since I essentially rewrote the entire book. New and expanded topics in the second edition of Intuitive Biostatistics include:

• Chapter 1 explains how our intuitions can lead us astray in issues of probability and statistics.
• Chapter 11 (and later examples) highlight the fact that lognormal distributions are common.
• Chapter 21 explains the idea of testing for equivalence vs. testing for differences. 
• Chapters 22, 23, and 40 discuss the pervasive problem of multiple comparisons. 
• Chapters 24 and 25 discuss testing for normality and for outliers.
• Chapter 35 shows how to think about statistical hypothesis testing as comparing the fits of alternative models.
• Chapters 37 and 38 give expanded coverage of the usefulness--and traps--of multiple, logistic, and proportional hazards regression.
• Chapter 43 briefly mentions adaptive study designs where sample size is not chosen in advance.
• Chapter 46 (inspired by, and written with, Bill Greco) reviews many topics in this book and more general issues of how to approach data analysis.