Course Schedule
Weekly lecture schedules and course information will be posited here. Please note as the term progresses, there might be changes and updates to the course calendar.
Week | Date | Lecturer | Session |
---|---|---|---|
1 | Sep 5, Tue | Kuan | Course Introduction and survival analysis review |
Sep 7, Thu | Kuan | Foundations of programming and data analysis using R | |
2 | Sep 12, Tue | Kuan | Survival Analysis: Time-varying covariates |
Sep 14, Thu | Kuan | Survival Analysis: Competing Risks | |
3 | Sep 19, Tue | Rinku | Survival Analysis: Multi-state Models (1) |
Sep 21, Thu | Kuan | Survival Analysis in R (1) | |
4 | Sep 26, Tue | Rinku | Survival Analysis: Multi-state Models (2) |
Sep 28, Thu | Kuan | Survival Analysis in R (2) | |
5 | Oct 3, Tue | Eleanor | Survival Analysis: Recurrent Events |
Oct 5, Thu | Eleanor | Longitudinal Data Analysis (1) | |
Oct 6, Fri | Block I Individual Report due | ||
Reading Week | |||
6 | Oct 17, Tue | Kuan | Block I Group Presentation |
Oct 19, Thu | Ruxandra Pinto | Causal Inference: Propensity score analysis with health data | |
7 | Oct 24, Tue | Eleanor | Longitudinal Data Analysis (2) |
Oct 26, Thu | Eleanor | Longitudinal Data Analysis (tutorial for 1&2) | |
8 | Oct 31, Tue | Kuan | Block II Group Presentation |
Nov 2, Thu | Bettina | Prediction models for binary data | |
Nov 3, Wed | Block II Individual Report due | ||
9 | Nov 7, Tue | Bettina | Prediction models for time-to-event data |
Nov 9, Thu | Martin | Joint modeling of longitudinal and time-to-event data | |
10 | Nov 14, Tue | Kuan | Application of prediction models in R (1) |
Nov 16, Thu | Kuan | Application of prediction models in R (2) | |
11 | Nov 21, Tue | Martin | Causal Inference: Advanced causal approaches |
Nov 23, Thu | Kuan | Block III Group Presentation | |
12 | Nov 28, Tue | Aya Mitani | Handling Missing Data in Health Science Research |
Dec 1, Fri | Block III Individual Report |