Knowledge of statistics is essential in modern biology and medicine. Biologists and health professionals learn statistics best with real and interesting examples. The Analysis of Biological Data, Second Edition, by Whitlock and Schluter, teaches modern methods of statistics through the use of fascinating biological and medical cases. Readers consistently praise its clear and engaging writing and practical perspective.
The second edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of the examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors.

Preface xxvii

Acknowledgments xxxi

About the authors xxxiii

PART 1 INTRODUCTION TO STATISTICS

1. Statistics and samples 1

1NTERLEAF 1 Biology and the history of statistics 23

2. Displaying data 25

3. Describing data 65

4. Estimating with uncertainty 95

1NTERLEAF 2 Pseudoreplication 115

5. Probability 117

6. Hypothesis testing 149

1NTERLEAF 3 Why statistical significance is not the same as biological importance 176

PART2 PROPORTIONS AND FREQUENCIES

7. Analyzing proportions 179

INTERLEAF 4 Correlation does not require causation 201

8. Fitting probability models to frequency data 203

INTERLEAF s Making a plan 233

9. Contingency analysis: associations between categorical variables 235

Review Problems 1 269

PART 3 COMPARING NUMERICAL VALUES

      10. The normal distribution 273

      1NTERLEA F 6 Controls in medical studies 301

      11. Inference for a normal population 303

      12. Comparing two means 327

      1NTERLEAF 1 Which test should Iuse? 366

      13. Handling violations of assumptions 369

      Review Problems 2 417

      14. Designing experiments 423

      INTERLEAF 8 Data dredging 456

      15. Comparing means of more than two groups 459

      1NTER LEAF 9 Experimental and statistical mistakes 500

PART 4 REGRESSION AND CORRELATION

16. Correlation between numerical variables 503

INTERLEAF 10 Publication bias 535

17. Regression 539

1NTERLEAF 11 Using species as data points 593 Review Problems 3 597

PART 5 MODERN STATISTI CALMETHODS

18. Multiple explanatory variables 605

19. Computer-intensive methods 635

20. Likelihood 655

21. Meta-analysis: combining information from multiple studies 681

Statistical tables 701

Literature cited 725

Answers to practice problems 747 Photo credits 803

Index 807

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).

中科院文献情报中心