Find the subject in the Handbook here. Schedule: September (Dual-Delivery)
Subject Description This subject presents methods for the analysis of data where outcome events occur over time, particularly in the context of a cohort study or more general longitudinal designs. It starts with the estimation of constant rates and two-group comparison of rates using the rate ratio, and progresses to the use of life tables and the Kaplan-Meier procedures to estimate a survival curve when rates are not assumed to be constant over time and (possibly right-censored) time-to-event data are available. Much of the subject is devoted to studying Poisson and proportional hazards (Cox) regression methods that allow adjustment for confounding variables when comparing rates between two or more primary exposure groups. Emphasis is on practical application and interpretation of results in the context of standard epidemiological study designs and particularly longitudinal studies. Practical work estimating rates and fitting models to data will use the statistical package Stata. |
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• A written assignment involving calculations and diagrams (30%)
• A written assignment of not more than 10 pages (40%)
• An open-book examination - 1.5 hours (30%)
I enjoyed this subject. If you enjoyed regression, you will probably enjoy this. If you didn't, you probably won't. The module content is excellent. The tutorials and pracs aren't necessary if you are good at the content, but if you need support it is there for you. The Q&As were a bit boring.
Disappointing subject unfortunately. Having to pay a private tutor to teach me instead.
I really enjoyed this subject, I thought it was well taught and the teaching staff were extremely responsive and helpful. However, I wish that video recordings going through the solutions for the tutorial and practical questions were made available.