| Week | Date | Topic | Lecture | R examples | Due |
|---|---|---|---|---|---|
| 1 | 2022-01-11 | Introduction to GLM | Lecture 1 | Data example 1 | – |
| 1 | 2022-01-13 | GLM concepts and estimation | Lecture 2 | – | – |
| 2 | 2022-01-18 | Hypothesis testing and deviance analysis | Lecture 3 | – | – |
| 2 | 2022-01-20 | – | – | – | HW1 due at 2:00pm |
| 2 | 2022-01-20 | Computation, building a GLM model | Lecture 4 | Data example 2 | – |
| 3 | 2022-01-25 | Binary GLM: links and applications | Lecture 5 | – | – |
| 3 | 2022-01-27 | Binary GLM: deviance, computation and examples | Lecture 6 | Data example 3 | – |
| 4 | 2022-02-01 | Multinomial GLM: nominal response | Lecture 7 | – | – |
| 4 | 2022-02-02 | – | – | – | HW2 due at 11:59pm |
| 4 | 2022-02-03 | Multinomial GLM: ordinal response and examples | Lecture 8 | Data example 4 | – |
| 5 | 2022-02-08 | GLM for counts: log-linear model and contigency tables | Lecture 9 | Data example 5 | – |
| 5 | 2022-02-10 | GLM for counts: over-dispersion and zero-inflation | Lecture 10 | Data example 6 | – |
| 6 | 2022-02-15 | Midterm exam | – | – | – |
| 6 | 2022-02-17 | Quasi-likelihood methods | Lecture 11 | – | – |
| 7 | 2022-02-23 | – | – | – | HW3 due at 11:59pm |
| 7 | 2022-02-22 | Linear mixed effect models | Lecture 12 | – | – |
| 7 | 2022-02-24 | Generalized Linear mixed effect models, examples of LMM and GLMM | Lecture 13 | Data example 7 | – |
| 8 | 2022-03-01 | More examples of LMM and GLMM | Lecture 13 | Data example 8 | – |
| 8 | 2022-03-03 | Quasi-likelihood examples | – | Data example 9 | – |
| 9 | 2021-03-08 | Survival analysis: concepts and Kaplan-Meier estimator | Lecture 14 | – | – |
| 9 | 2022-03-09 | – | – | – | HW4 due at 11:59pm |
| 9 | 2021-03-10 | Survival analysis: log-rank test and proportional hazard regression mdeol | Lecture 15 | Data example 10 | – |