Advanced Survival Analysis and Prognostic Modelling
28 - 29 June 2018.
2 days (approximately 12 hours teaching).
Registration will start at 9am on the first day, the course will finish by 4.30pm on the final day.
The aims of this course are:
- to introduce different types of prognostic model and their uses;
- to explain and implement parametric survival models;
- to use flexible parametric survival models in prognostic modeling;
- to introduce the concept of competing risks in modelling time-to-event data.
By the end of the course students should be able to:
- analyse data using Poisson, Cox and parametric (e.g. Weibull) regression models;
- describe the links between these approaches;
- use flexible parametric survival analysis to improve model fit to the data;
- develop prognostic models;
- analyse survival data with competing outcomes.
Who the course is intended for
This course is intended for medical statisticians. Applicants should be competent users of Stata and should be familiar with basic survival analysis eg Cox model, equivalent to the level taught in 'Introduction to Rates and Survival Analysis' short course.
- Prognostic models.
- Parametric survival models.
- Flexible parametric survival models.
- Prognostic modeling using flexible parametric models.
- Time dependent effects.
- Validation of prognostic models.
- Competing risks in survival analysis.
Please note: Practical sessions of this course will be held in a computer lab, so you will not need to bring a laptop. During the course Stata 14 will be used.
More information on course fees, fee waivers and reduced prices.
Bristol Medical School
39 Whatley Road
We provide morning and afternoon refreshment breaks, including tea and coffee, biscuits and fresh fruit.
If you have specific dietary needs we ask that you let us know in advance.
Lunch is not included. There are a range of local cafes and supermarkets nearby for students to purchase lunch.
Information about accommodation in the area.
Related short courses
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