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Grafen & Hails: Modern Statistics for the Life Sciences

Figures

Here you can download all figures from the textbook in PowerPoint format for use in lectures:

Chapter 01: An introduction to analysis of variance
Chapter 02: Regression
Chapter 03: Models, parameters and GLMs
Chapter 04: Using more than one explanatory variable
Chapter 05: Designing experiments - keeping it simple
Chapter 06: Combining continuous and categorical variables
Chapter 07: Interactions - getting more complex
Chapter 08: Checking the models I: independence
Chapter 09: Checking the models II: the other three assumptions
Chapter 10: Model selection I: principles of model choice and designed experiments
Chapter 11: Models selection II: datasets with several explanatory variables
Chapter 12: Random effects
Chapter 13: Categorical data