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Readership: Second and third year undergraduates, MSc students, and postgraduate researchers in the Life Sciences; also a useful resource for students of other non-mathematics-based disciplines using statistics: geographers, psychologists,
Alan Grafen, Professor of Theoretical Biology, University of Oxford, and Rosie Hails, Principal Scientific Officer, NERC Centre for Ecology and Hydrology, Oxford
"'The book is well laid out and concepts are very well explained by making effective use of diagrams and geometric representations. There are many analyses of example data sets to ilustrate the application the methods and the interpretation of the output'. Biometrics 59, 200-209, March 2003."
""it is a stepping-stone between one's first statistics course and what one really needs as a professional biologist. That said, it is the best stepping-stone on the market". Trends in Ecology and Evolution, 2003."
""Grafen and Hails have written a very nice book...many examples also serve to highlight design or analysis errors that are commonly made and encourage constructive critism: learning from mistakes is, I think, a very powerful approach." Animal Behaviour 2003"
Why use this book
1: An introduction to the analysis of variance
3: Models, parameters and GLMs
4: Using more than one explanatory variable
5: Designing experiments - keeping it simple
6: Combining continuous and categorical variables
7: Interactions - getting more complex
8: Checking the models A: Independence
9: Checking the models B: The other three assumptions
10: Model selection I: Principles of model choice and designed experiments
11: Model selection II: Data sets with several explanatory variables
12: Random effects
13: Categorical data
14: What lies beyond?
Answers to exercises
Revision section: The basics
Appendix I: The meaning of p-values and confidence intervals
Appendix II: Analytical results about variances of sample means
Appendix III: Probability distributions