Analysis of Biological Data / Edition 2

by Michael C. Whitlock

Overview

Learn the modern methods of statistics through the use of fascinating biological and medical cases as Analysis of Biological Data guides you through statistical methods one step at a time by providing a hefty amount of examples from medical and human health research.

Product Details

ISBN-13:	2901936221485
Publication date:	06/02/2014
Pages:	864
Product dimensions:	7.30(w) x 9.50(h) x 1.50(d)

About the Author

Michael Whitlock is an evolutionary biologist and population geneticist. He is a professor of zoology at the University of British Columbia, where he has taught statistics to biology students since 1995. Whitlock is known for his work on the spatial structure of biological populations, genetic drift, and the genetics of adaptation. He has worked with fungus beetles, rhinos, and fruit flies; mathematical theory; and statistical genetics. He is a fellow of the American Academy of Arts and Sciences and a fellow of the American Association for the Advancement of Science. He is also the former editor-in-chief of The American Naturalist.

Dolph Schluter is professor and Canada Research Chair in the zoology department and Biodiversity Research Center at the University of British Columbia. He currently teaches evolutionary ecology as well as a graduate course in biological data analysis. Schluter is known for his research on adaptive radiation—the evolution of ecological diversity in groups of organisms that are multiplying rapidly—and on the evolution of major biodiversity gradients. His initial studies were carried out on Darwin’s finches in the Galápagos Islands, followed by work on seed-eating birds in other parts of the world. Recently he has carried out studies of competition, adaptation, and the origin of species in threespine stickleback inhabiting lakes of coastal British Columbia, Canada, and the genetic basis of species differences. He is a fellow of the Royal Society of London and the Royal Society of Canada and is a Foreign Member of the American Academy of Arts and Sciences. He has received multiple honors including the Guggenheim Fellowship, The Sewall Wright Award from the American Society of Naturalists, the Killam Fellowship from the Canada Council, and the Darwin-Wallace Medal from the Linnean Society of London. He is a past president of the Society for the Study of Evolution and the American Society of Naturalists. His other books include The Ecology of Adaptive Radiation (2000). 

Table of Contents

PART 1. INTRODUCTION TO STATISTICS
1. Statistics and samples
INTERLEAF 1 Biology and the history of statistics
2. Displaying data
3. Describing data
4. Estimating with uncertainty
INTERLEAF 2 Pseudoreplication
5. Probability
6. Hypothesis testing
INTERLEAF 3 Why statistical significance is not the same as biological importance

PART 2. PROPORTIONS AND FREQUENCIES
7. Analyzing proportions
INTERLEAF 4 Correlation does not require causation
8. Fitting probability models to frequency data
INTERLEAF 5 Making a plan
9. Contingency analysis: associations between categorical variables

PART 3. COMPARING NUMERICAL VALUES
10. The normal distribution
INTERLEAF 6 Controls in medical studies
11. Inference for a normal population
12. Comparing two means
INTERLEAF 7 Which test should I use?
13. Handling violations of assumptions
14. Designing experiments
INTERLEAF 8 Data dredging
15. Comparing means of more than two groups
INTERLEAF 9 Experimental and statistical mistakes

PART 4. REGRESSION AND CORRELATION
16. Correlation between numerical variables
INTERLEAF 10 Publication bias
17. Regression
INTERLEAF 11 Using species as data points

PART 5. MODERN STATISTICAL METHODS
18. Multiple explanatory variables
19. Computer-intensive methods
20. Likelihood
21. Meta-analysis: combining information from multiple studies

Answers to practice problems
Literature cited
Statistical tables
Photo credits
Index

What People are Saying About This

Grace Wyngaard

"The authors' approach to teaching statistics truly makes the appropriate connections to the kinds of problems and data biological researchers will encounter today."--(Grace Wyngaard, James Madison University)

Allen J. Moore

"I found the book engaging, intuitive, and with a coverage and pace that is perfect for a first statistics course for students in biology."--(Allen J. Moore, University of Exeter)

Brad Anholt

"The collection of questions alone will transform my course."--(Brad Anholt, University of Victoria)