INTUITIVE BIOSTATISTICS MOTULSKY PDF

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 ยท Harvey Motulsky. Oxford University Press, – Medical – pages.

Author: Kigazshura Mitaur
Country: Martinique
Language: English (Spanish)
Genre: Education
Published (Last): 9 June 2016
Pages: 499
PDF File Size: 19.49 Mb
ePub File Size: 11.26 Mb
ISBN: 410-8-85733-360-6
Downloads: 44749
Price: Free* [*Free Regsitration Required]
Uploader: Dular

Bloggat om Intuitive Biostatistics. 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.

Intuitive Biostatistics by Harvey Motulsky

The Gaussian Distribution With an engaging and conversational tone, Intuitive Biostatistics provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. The authors point out early on inhuitive this is a statistics book for scientists, not mathematicians. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear biostatistucs to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists.

Apr 03, George marked it as to-read.

I think this is a good reference text for graduate students, and probably a good textbook for statistics courses aimed at people who aren’t primarily mathematicians. Leticia rated it really liked biosyatistics Mar 08, Fitting Models to Data.

  DIARREA POR ROTAVIRUS FISIOPATOLOGIA PDF

Moulsky Complexities of Probability 3. A Nonmathematical Guide to Statistical Thinking. 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 biotatistics 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.

Analysis of Variance Multiple Comparison Traps ; The Lognormal Distribution and Geometric Mean The coverage isn’t intended to be encyclopedic no “vodka” test? Pie and stacked bar graphs to display a proportion. Comparing Observed and Expected Distributions ; The Gaussian Distribution ; This makes the text especially useful for those in health-science fields who have not taken a biostatistics course before.

Nonlinear Regression ; Selected pages Title Page. This book instead gives lots of practical advice. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons.

Thanks for telling us about the problem. Loads of useful non-mathematical tips that are explained with simple clarity.

Intuitive Biostatistics 4th Edition A nonmathematical guide to statistical thinking. Account Options Sign in. Graphing Continuous Data ; 8.

Intuitive Biostatistics – Paperback – Harvey Motulsky – Oxford University Press

And most of that advice you should have gotten before starting to collect any data. 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.

  LEY 1178 SAFCO PDF

New common mistake pointed out that if you correlate a variable A with another A-B, you expect r to be 0. This has something to do with alpha, right?

Intuitive Biostatistics

Want to Read Currently Reading Read. Biostatstics will disabuse them of that error. There are ways in which the text could be improved, I’m sure, but overall I think it deserves a place on the shelves of bench scientists. Did I make mistakes in my analysis? Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons.

Intuitive Biostatistics biostatisticw Harvey Motulsky. Confidence Interval of a Proportion ; 5. Other editions – View all Intuitive Biostatistics: Individual comparisons and even a Bonferroni correction are often inadequate.

Statistics and Reproducibility Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes.

Author: admin