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:

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 & 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.

Participants are granted access to our virtual learning platform (Blackboard) 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 3 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 & Recordings' version of this course: Further information and bookings.

92% of attendees recommend this course*.
*Attendee feedback from 2024.

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

"Everything was very clearly explained, with good building on and development of models." - Course feedback, July 2024

"The tutorial and question padlet really helps." - Course feedback, July 2024

"Practicals and lectures paired really well." - Course feedback, July 2024

"The course was very good and I feel like I have learned a lot." - Course feedback, July 2024

"The lecturers were knowledgeable, friendly and engaging and for the most part were able to explain complex concepts in an accessible manner." - Course feedback, July 2024

"The lecturers are very knowledgeable." - Course feedback, July 2024

"The staff running the course were very engaging and very quick to answer any questions that were raised." - Course feedback, July 2024