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Intuitive Biostatistics takes a non-technical, non-quantitative approach to statistics and emphasizes interpretation of statistical results rather than. Intuitive Biostatistics has ratings and 12 reviews. Bastian said: I read this book after reading the glowing review done by Philipp and he’s right in. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. Front Cover · Harvey Motulsky. Oxford University Press, – Medical – pages.

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But if you want to work in stats later it might be a good decision to read through this book. Rewrote section on very high P values.

Refresh and try again. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Other editions – View all Intuitive Biostatistics: As an example, consider Type I vs. Account Options Sign in. Comparing Observed and Expected Distributions ; Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic o Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves.

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With its engaging and conversational tone, Essential Biostatistics: Choosing a Sample Size Part F. Multiple Comparison Traps ; The Key Concepts of Statistics Indigospirit Royal rated it really liked it Jan 07, Graphing Continuous Data ; 8.

Want to Read saving…. Open Preview See a Problem? Fitting Models to Biological Data Using Linear and Nonlinear Regression Harvey Motulsky Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. Begins with a new section to explain different kinds of variables. Individual comparisons and even a Bonferroni correction are often inadequate. Here’s a great book for exactly that set of problems – it starts off with an introduction and explanation of all the basic words and teachings of statistics p-values, cutoffs, etc.

Types of Variables 9.

The authors point out early on that this is a statistics book for scientists, not mathematicians. Just a moment while we sign you in to your Goodreads account.

A Nonmathematical Guide to Statistical Thinking. I also added two new chapters. Unpaired t Test Read, highlight, and take notes, across web, tablet, and phone. Transforming to logs turns lognormal into Gaussian.

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Intuitive Biostatistics

Interpreting a Result That is Statistically Significant ; Goodreads helps you keep track of books you want to read. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. New to this edition: Books by Harvey Motulsky. This book is not yet featured on Listopia.

Intuitive Biostatistics – Paperback – Harvey Motulsky – Oxford University Press

Intuiitve does this with a minimum of mathematics making this text quite useful for those struggling with or not in need of the mathematical details. Unpaired t test ; Compared to other books, it has:.

Comparing Survival Curves ; Students – there might be too much high-level detail and opinion in here if you need to cram for a test, there are other books for that which focus on the actual math. This book gives you the information you need to carry out most basic statistical analyses while offering additional resources for those who are interested. Skickas inom vardagar. Advantage of CI over P.