Statistical Methods in Biology : Design and Analysis of Experiments and Regression (Paperback)

Introduction. A Review of Basic Statistics. Principles for Designing Experiments. Models for a Single Factor. Checking Model Assumptions. Transformations of the Response. Models with Simple Blocking Structure. Extracting Information about Treatments. Models with Complex Blocking Structure. Replication and Power. Dealing with Non-Orthogonality. Models for a Single Variate: Simple Linear Regression. Checking Model Fit. Models for Several Variates: Multiple Linear Regression. Models for Variates and Factors. Incorporating Structure: Mixed Models. Models for Curved Relationships. Models for Non-Normal Responses: Generalized Linear Models. Practical Design and Data Analysis for Real Studies. References. Appendices.