Practical Data Analysis
for Designed Experiments

A. Placing Data in Context

1. Practical Data Analysis
2. Collaboration in Science
3. Experimental Design

   B. Working with Groups of Data

4. Comparison of Groups
5. Comparing Several Means
6. Multiple Comparisons of Means

   C. Sorting out Effects with Data

7. Factorial Designs
8. Balanced Experiments
9. Model Selection

   D. Dealing with Imbalance

10. Unbalanced Experiments
11. Missing Cells
12. Linear Models Inference

    E. Questioning Assumptions

13. Residual Plots
14. Comparisons with Unequal Variance
15. Getting Free from Assumptions

    F. Regressing with Factors

16. Ordered Groups
17. Analysis of Covariance
18. Multiple Responses

    G. Deciding on Fixed or Random Effects

19. Models with Random Effects
20. General Random Models
21. Mixed Effects Models

    H. Nesting Experimental Units

22. Nested Designs
23. Split Plot Design
24. General Nested Designs

    I. Repeating Measures on the Same Subject

25. Repeated Measures as Split Plot
26. Adjustments for Correlation
27. Cross-over Design