Intuitive biostatistics a nonmathematical guide to statistical thinking review

Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking by Harvey Motulsky (Author). Overview Intuitive Biostatistics is both an introduction and evaluation of statistics. In comparison with different books, it has:

Breadth reasonably than depth. It is a guidebook, not a cookbook.

Words rather than math. It has few equations.

Explanations moderately than recipes. This ebook presents few particulars of statistical strategies and only some tables required to complete the calculations.

Who's 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 did not analyze any knowledge, however want to know analyses revealed by others.

Undergraduate and graduate students, put up-docs and researchers who will analyze the data. This guide explains common rules of knowledge analysis, but it surely will not train you the best way to do statistical calculations or how one can use any specific statistical program.

Scientists who seek the advice of with statisticians. Statistics typically looks as if an overseas language, and this text can serve as a phrase we book to bridge the gap between scientists and statisticians.

What's new in the second edition?

Although the spirit of the primary version remains, very few of its words do. It's onerous to clarify what is new in this version, since I primarily rewrote all the book. New and expanded topics in the second edition of Intuitive Biostatistics embrace:

Chapter 1 explains how our intuitions can lead us astray in issues of probability and statistics.

Chapter eleven (and later examples) highlight the fact that lognormal distributions are common.

Chapter 21 explains the thought of testing for equivalence vs. testing for differences.

Chapters 22, 23, and forty focus on the pervasive problem of multiple comparisons.

Chapters 24 and 25 focus on testing for normality and for outliers.

Chapter 35 reveals how to consider statistical speculation testing as evaluating the suits of different models.

Chapters 37 and 38 give expanded protection of the usefulness--and traps--of a number of, logistic, and proportional hazards regression.

Chapter 43 briefly mentions adaptive study designs the place sample dimension is not chosen in advance.

Chapter forty six (inspired by, and written with, Invoice Greco) opinions many topics in this ebook and extra general issues of learn how to strategy knowledge analysis. 

Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking 

 Harvey Motulsky (Author)

512 pages

Oxford University Press, USA; 2nd Revised & enlarged edition (January 20, 2010)

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