Event History Analysis New
This course offers an introduction to event history analysis, which is a tool used for analyzing the occurrence and timing of events. Typical examples are life course transitions such as the transition to parenthood and partnership formation processes, labour market processes such as job promotions, mortality, and transitions to and from sickness and disability. The researcher may be interested in examining how the rate of a particular event varies over time or with individual characteristics, social conditions, or other factors. Event History Analysis lets the researcher handle censoring and truncation, include time-varying independent variables, account for unobserved heterogeneity (frailty), and so on. The course will rely on Stata as the main computing tool, but users of other statistical software could still benefit from the course. The course is taught through both lectures and lab sessions.
- University Students from Tier 1 Departments
- Further details regarding eligibility criteria are available here
Number of sessions: 2
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Mon 2 Mar 2020 09:00 - 13:00 | 09:00 - 13:00 | 17 Mill Lane, Seminar Room B | map | Senhu Wang |
| 2 | Mon 2 Mar 2020 14:00 - 18:00 | 14:00 - 18:00 | Titan Teaching Room 2, New Museums Site | map | Senhu Wang |
The course will cover a wide range of topics including the following:
- Event history data structures, collection instruments, coding schemes
- The concepts of censoring and truncation
- Numerical and graphical descriptions of survival data
- The Cox proportional hazards model
- Time-varying covariates
- Discrete-time hazard models
This module is not assessed.
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