3-4 July 2017.
Course duration: 2 days (approximately 12 hours teaching).
Registration will start at 9.00am on the first day, the course will finish by 4.30pm on the final day.
Professor Margaret May (course organiser) and others.
The aim of this course is to give an understanding of and practice in implementing parametric survival models and their use in prognostic modelling, and to introduce the concepts of competing risks and relative survival in modelling time-to-event data.
By the end of the course students should be able to:
Participants should have a knowledge of survival analyses using Poisson and Cox regression models and their implementation in Stata to at least the level achieved in the 'Introduction to Rates and Survival Analysis' short course. Familiarity with Stata is a pre-requisite for this course.
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.
School of Social and Community Medicine
39 Whatley Road
Coffee, tea, fruit and biscuits will be available to all students. A light lunch is provided for all paying participants. Please let us know if you have any dietary requirements.
Information about accommodation.
For further information please email firstname.lastname@example.org