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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Intuitive Biostatistics by Harvey Motulsky. Lauren Lyon-Collis rated it it was amazing Dec 09, The authors point out early on that this is a statistics book for scientists, not mathematicians.

Like most statisticians, Motulsky has opinions: I’ll be recommending the new edition with even greater enthusiasm. The other points out that we let our biases deter- mine how we interpret data.

Types of Variables ; 9. This is a rare beast — scientists tend to write books about science, leaving the statistical manuals to be written by, well, non-scientists.

Individual comparisons and even a Bonferroni correction are often inadequate. Oxford University Press Amazon.

Intuitive Biostatistics

P Values and Significance. Preview — Intuitive Biostatistics by Harvey Motulsky. A Nonmathematical Guide to Statistical Thinking.

Did I make mistakes in my analysis? Error Bars Part D.

Intuitive Biostatistics – Harvey Motulsky – Häftad () | Bokus

William Watts rated it really liked it Jul 06, Chapter 21 contrasts testing for equivalence with testing for differences. Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains intjitive refines the core perspectives of the previous edition: This chapter on case-control studies has been substantially rewritten to clarify core concepts.

Comparing Survival Curves Return to Book Page. Chapters 24 and 25 review testing for normality and outliers.

Differentways to report a mean and SD. Fitting Models to Data. New example basketball to replace a dated example about premature babies. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression.

Chapter 47 discusses statistical concepts regarding the reproducibility of scientific data. The Ubiquity of Multiple Comparisons All in all the book didn’t contain too much stuff that was really new to me, but it was funny to read anyway, not only because of all the comics it includes, but also because the writing is genuinely funny in many places my office mates gave intultive strange looks for laughing while reading it.

Choosing a Sample Size Part F. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Confidence Interval of a Proportion ; 5.

Intuitive Biostatistics – Intro

Statistical Traps to Avoid Be the first to ask a motuksky about Intuitive Biostatistics. It doesn’t contain much technical details though, one would need a proper stat textbook for that. This text avoids as much hardcore math as it can, taking a more realistic approach for biomedical scientists: