Stat 414
- Lectures Notes
| Tuesday |
Thursday |
To Do:
|
Day
1: What is a GLM? To Do:
|
| Day 2: Adjusted association, Interactions, Modeling Heterogeneity To Do:
| Day 3: Estimation To Do: |
| Day 4: Likelihood Ratio Test, Restricted Maximum Likelihood Estimation To Do:
|
Day 5: Random Effects To Do: |
| Day 6: Random intercepts and Induced correlation (4.1 - 4.4) To Do:
|
Day 7: Estimating Group Effects (4.8) To Do:
|
| Day 8: Confidence intervals and Level 2 residuals (4.8) To Do:
|
Exam 1 Review handout Review problems Solutions |
| Day 9: Three-level models (4.9) To Do:
|
Day 10: Random slopes (5.1) To Do: |
| Day 11: Random slopes cont. Centering (4.6, 5.2) To Do:
|
Day 12: Adding Level 2 Variables (5.2) To Do:
|
Day 13: Residuals and Influential observations (Ch. 10)
|
Day 14: Longitudinal data No Thursday or Friday office hour this week (e-mail) To Do:
|
| Day 15: Longitudinal data (time dependent correlation) (Ch. 15) To Do:
|
Exam 2 Review handout Review problems Solutions |
Day 16: Logistic regression (Ch. 17)
|
Day 17: Imperfect hierarchies (Ch. 13) To Do:
|
| Day 18: Immanuel Williams |
Day 19: Nina Schleicher |
|