Good for anyone dealing with Statistics | Intuitive Biostatistics: A Nonmathematical Guide to Statistical...

Jargon free statistics | Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking | Harvey Motulsky

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	• Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking Harvey Motulsky Oxford University Press, USA, 2010 - 512 pages average customer review:based on 33 reviews view larger image
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highly recommended

Extremely well written

This book stands out from most other intro books in how well it is written. Surprisingly, it has no more inaccuracies than I've found in intro textbooks by statisticians. Particularly good are the reviews of assumptions for tests. The examples are good but not extensive. As an intro book for medical statistics, I think it might be the best out there. The clarity of describing statistical issues is its strength.

Good for anyone dealing with Statistics

Good book covering many of the more esoteric aspects of statistics. If you deal with statistics on any level I would recommend this book.

Anyone that has a fear, loathing, distrust, or any other aversion to statistics should give this book a try.

Well written, lots of examples, great as a refresher or general reference.

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Jargon free statistics

This book fills a gap in the market of books for statistics. The book focuses on the application of statistical procedures, rather than the mathematics of the various tests. The book is written in a non-complicated, conversational way and is filled with interesting examples. The author is able to make a potentially complicated topic, easy to understand and logical. This book is a must for any postgraduate student/professional scientist who uses statistics.

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Excellent book on biostatistics

This is a first-rate book on biostatistics. Strongly recommended for physicians and others who read and must make sense of the biomedical literature. It should also be required reading for scientists who are publishing biomedical research, preferably early in their careers when they are still impressionable. Clearly shows the strengths and limitations of statistics in interpreting research results. Does a great job on the ever-present problem of multiple comparisons and retrospective data torture. Other texts are cookbooks which show you how to perform various statistical tests, but ultimately it is far more important to understand the rationale behind statistical methodology and to see what statistical tests can--and can't--tell us. Enforces the notion that statistical tests have assumptions and describes when these assumptions can be violated and when such violations render the tests worthless. Debunks the notion that "statistical significance" is an absolute concept and shows how p

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A great (p<0.0001) intro

This is a must for every medical student. For those engaging in research there is sufficient detail to be able to apply the correct statistical technique and to interpret the results. For the rest it gives a very clear introduction to biostatistics and particularly aids understanding of research articles without which a doctor will quickly lose touch with evidence based medicine.

For the scientist and science student I would recommend this as an adjunct to any statistical course and as a reference to have on hand when reading those articles. I regularly picked up the first edition to check I was understanding something correctly - this edition is an order of magnitude better.

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OverviewIntuitive Biostatistics is both an introduction and review of statistics. 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. (edited by author)

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