Why use this book
1 An introduction to the analysis of variance
2 Regression
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
Bibliography