Longitudinal Data Analysis with Discrete and Continuous Responses using Proc Mixed Part 3: Model Development and Interpr

1. 1

2. 2 These notes are based on a 3-day course taught by SAS Institute. Part 1: Introduction to Longitudinal Analysis & Exploratory Analysis Part 2: General Linear Mixed Model & Evaluating Covariance Structures ? Part 3: Model Development and Interpretation Part 4: Random Coefficient Models Part 5: Model Assessment Part 6: Generalized Linear Models & Generalized Linear Mixed Models

3. 3 Review

4. 4 Review

5. 5 Review

6. 6 Review

7. 7 Review

8. 8 Review

9. 9 Review

10. 10 Review

11. 11

12. 12 ML versus REML

13. 13 Evaluating Fixed Effects

14. 14 Evaluating Fixed Effects

15. 15 Evaluating Fixed Effects

16. 16 Evaluating Fixed Effects

17. 17 Evaluating Fixed Effects

18. 18 Evaluating Fixed Effects

19. 19 Evaluating Fixed Effects

20. 20 Evaluating Fixed Effects

21. 21 Evaluating Fixed Effects

22. 22 Evaluating Fixed Effects

23. 23 Evaluating Fixed Effects

24. 24 Illustrating Interactions

25. 25 Illustrating Interactions

26. 26 Illustrating Interactions

27. 27 Illustrating Interactions

28. 28 Illustrating Interactions

29. 29 Illustrating Interactions

30. 30 Illustrating Interactions

31. 31 Illustrating Interactions

32. 32 Illustrating Interactions

33. 33 Illustrating Interactions

34. 34 Illustrating Interactions

35. 35 Heterogeneity in the Covariance Structure

36. 36 Heterogeneity in the Covariance Structure

37. 37 Heterogeneity in the Covariance Structure

38. 38 Heterogeneity in the Covariance Structure

39. 39 Heterogeneity in the Covariance Structure

40. 40 Heterogeneity in the Covariance Structure

41. 41 Heterogeneity in the Covariance Structure

42. 42 Heterogeneity in the Covariance Structure

43. 43 Summary of Model Development