This course will provide a foundation for the practical analyses of categorical and time to event (survival) data. The course will cover the use of logistic regression models for use with binary outcomes and Cox proportional hazards regression models for time to event outcomes. Practical application of these models will be emphasized and model building and the checking of model assumptions will be covered in detail.
| WK | Topic | Teaching format | Duration |
| 1 | Review of Estimation and Hypothesis Testing for Categorical Data
Categorical Data Analysis I |
LT | 3h |
| 2 | Categorical Data Analysis II
|
LT | 3h |
| 3 | Tutorial for Categorical Data Analysis I and II
Statistical Computing for Data Analysis I and II |
LT | 3h |
| 4 | Categorical Data Analysis III | LT | 3h |
| 5 | Tutorial for Categorical Data Analysis III
Statistical Computing for Data Analysis III |
C
lab |
1h30min
1h30min |
| 6 | Survival Analysis I | LT | 3h |
| 7 | Tutorial for Survival Analysis I
Statistical Computing for Survival Analysis I |
C
lab
|
1h30min
1h30min |
| 8 | Survival Analysis II | LT | 3h |
| 9 | Tutorial for Survival Analysis II
Statistical Computing for Survival Analysis II |
C
lab |
1h30min
1h30min |
| 10 | Survival Analysis III | LT | 3h |
| 11 | Tutorial for Survival Analysis III / Revision
Statistical Computing for Survival Analysis III |
C
lab |
1h30min
1h30min |
| 12 | Examination | Exam | 2h |