Further Survival Analysis

Survival analysis, also known as time-to-event analysis, uses duration data to estimate rates of events and associations of time with possible explanatory variables. University of Bristol academics (including those tutoring on this course) have wide-ranging experience in applying these methods within health research.

Dates 24 - 25 May 2027
Fee £250
Format Online
Audience Open to all applicants (prerequisites apply)
Organisers Dr Suzanne Ingle and Dr Adam Trickey

Course profile

This course aims to:

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

Please click on the sections below for more information. 

This course will be delivered online over 2 mornings, with 3 lectures and 3 practical sessions over approximately 7.5 hours (9.15am - 1pm each day).

By the end of the course participants should be able to:

  1. analyse data using Poisson, Cox and parametric (e.g. Weibull) regression models;
  2. describe the links between these approaches;
  3. use flexible parametric survival analysis to improve model fit to the data; and
  4. analyse survival data with competing outcomes.

This course is intended for medical statisticians. Applicants should be competent users of Stata (although code in R will also be made available) and should be familiar with basic survival analysis e.g. Cox models, equivalent to the level taught in the Introduction to Rates and Survival Analysis short course.

This course will cover:

  1. parametric survival models;
  2. flexible parametric survival models; and
  3. competing risks in survival analysis.

This course is taught by Dr Suzanne Ingle and Dr Adam Trickey. Both have expertise in Survival Analysis through their work in applying the methods in HIV observational cohort studies for many years.

To make sure the course is suitable for you and you will benefit from attending, please ensure you meet the following prerequisites before booking:

Knowledge Participants should be familiar with the basics of survival analysis, to at least the level attained from the Introduction to Rates and Survival Analysis short course.
Software

Participants should be familiar with using Stata statistical software and implementing survival analyses within Stata (code for practicals will also be made available in R).

You must have Stata or R installed in advance of the course.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are a student, Stata offer a short term free Student licence (one week). 

Before booking this course, please make sure you read the information provided above about the target audience and prerequisites. It is important that you have access to the relevant IT resources needed for the course and meet the knowledge prerequisites to ensure you can get the most from the course.

Bookings are taken via our online booking system, for which you must register an account. To check if you are eligible for free or discounted courses please see our fees and voucher packs page. All bookings are subject to our terms and conditions, which can be read in full here.

For help and support with booking a course refer to our booking information page, FAQs or feel free to contact us directly. For available payment options please see: How to pay your short course fees.

Bookings close two weeks before the start of each course. Once all courses have finished for the current academic year we close the booking system for updates, and re-open again in the Autumn. To be notified about our timescales for opening annual registrations and bookings sign up to our mailing list.

Participants are granted access to our virtual learning platform (Blackboard Ultra) 1 to 2 weeks in advance of the course. This allows time for any pre-course work to be completed and to familiarise with the platform.

To gain the most from the course, we recommend that you attend in full and participate in all interactive components. We endeavour to record all live lecture sessions and upload these to the online learning environment within 24 hours. This allows course participants to review these sessions at leisure and revisit them multiple times. Please note that we do not record breakout sessions.

All course participants retain access to the online learning materials and recordings for 5 months after the course. 

University of Bristol staff and postgraduate students who do not wish to attend the full course may instead register for access to the 'Materials and Recordings' version of this course: Further information and bookings.

Here is a sample of feedback from the last run of the course:

"Clear lectures, clear practicals." - Course feedback, July 2026

"Generally a really informative course and the practicals were really helpful to think about this conceptually." - Course feedback, July 2026

"The practicals were very clear, and I liked the talking through of the solutions afterwards. It was also very handy to be able to refer to the course materials before hand which allowed me to prepare." - Course feedback, July 2026

"The lectures and practical sessions were good. Enjoyed the course." - Course feedback, July 2026