| Week | Date | Topic | Lecture | R examples | Due | |
|---|---|---|---|---|---|---|
| 1 | 2025-01-07 | Introduction to GLM | Lecture 1 | Data example 1 | – | |
| 1 | 2025-01-09 | GLM concepts and estimation | Lecture 2 | – | – | |
| 2 | 2025-01-14 | Statistical Inference for GLM | Lecture 3 | – | – | |
| 2 | 2025-01-16 | Deviance analysis and model diagnosis | Lecture 4 | – | – | |
| 2 | 2025-01-17 | – | – | – | – | HW1 due at 11:59pm |
| 3 | 2025-01-23 | Computational for GLM and data examples | Lecture 5 | Data example 2 | – | |
| 4 | 2025-01-28 | GLM for binary data: introduction | Lecture 6 | Data example 3, part I | – | |
| 4 | 2025-01-30 | GLM for binary data: computation and application | Lecture 7 | Data example 3, part II | – | |
| 4 | 2025-02-02 | – | – | – | – | HW2 due at 11:59pm |
| 5 | 2025-02-04 | GLM for nominal responses | Lecture 8 | Data example 4, part I | – | |
| 5 | 2025-02-06 | GLM for ordinal responses | Lecture 9 | Data example 4, part II | – | |
| 7 | 2025-02-18 | Poisson loglinear models | Lecture 10 | Data example 5, part I, Data example 5, part II | – | |
| 7 | 2025-02-20 | Parametric GLM models for over-dispersion | Lecture 11 | Data example 6 | – | |
| 8 | 2025-02-25 | Quasi-likelihood and Sandwich estimator | Lecture 12 | Data example 7 | – | |
| 8 | 2025-02-27 | Review of linear mixed effect models | Lecture 13 | Data example 8 | – | |
| 9 | 2025-03-04 | Generalized linear mixed effect models | Lecture 14 | Data example 9 | – |