Advanced Survival Analysis

Coronavirus (COVID-19) information

The Short Course Programme in Population Health Sciences has been temporarily suspended.

Booking

Bookings for 2020-21 courses will open later in the autumn.

Information on this page relates to the last run of the course and is for reference only. 

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We may need to make responsive changes to our future programme to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).

Please be aware that all information about short courses planned for 2021 is provisional and subject to change.

Course dates

14 July 2020

Course duration

1 days (approximately 7 hours teaching).
Registration will start at 9am and the course will finish by 5.00pm.

Course tutors

Dr Suzanne Ingle (course organiser), David Carslake, Adam Trickey and Jian Zhao

Course aims 

The aims of this course are: 

  • to explain and implement parametric survival models;
  • to use flexible parametric survival models;
  • to introduce the concept of competing risks in modelling time-to-event data.   

Course objectives

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;
  • 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.

Course outline 

  • Parametric survival models.
  • Flexible parametric survival 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 15 will be used.

Tutors had great teaching skills. They explained things in a lot of detail making it easy to understand.

Course feedback, July 2017

Course fee

£440

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

Course venue

Bristol Medical School
Canynge Hall
39 Whatley Road
Bristol
BS8 2PS
United Kingdom

Map and directions

Course refreshments

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. 

Accommodation

Information about accommodation in the area.

Contacts

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

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