Advanced Survival Analysis and Prognostic Modelling

Course dates

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.

Course tutors

Professor Margaret May (course organiser) and others.

Course aims and objectives

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:

  • analyse data using Poisson, Cox and parametric (e.g. Weibull) regression models;
  • understand the links between these approaches;
  • use flexible parametric survival analysis to improve model fit to the data;
  • develop prognostic models;
  • use relative survival models that incorporate expected survival to overcome lack of specific cause of death data;
  • analyse survival data with competing outcomes.

Who the course is intended for

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.

Course outline 

  • Comparison of Poisson, Cox and parametric survival models. 
  • Parametric regression using the Weibull and other distributions.
  • Flexible parametric survival models and their use in prognostic modelling. 
  • Validation of prognostic models.
  • Time-varying hazards.
  • Analysis of competing risks data using cumulative incidence function and an adapted version of the Cox regression model.  

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.

Booking

Make a booking

Places available.

Course fees

£440

More information on course fees, fee waivers and reduced prices.

Course venue

School of Social and Community Medicine
Canynge Hall
39 Whatley Road
Bristol
BS8 2PS
United Kingdom

Map and directions

Lunch and refreshments

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.

Accommodation

Information about accommodation.

Contacts

For further information please email short-course@bristol.ac.uk