Advanced Survival Analysis

An online short course

This course aims to explain and implement parametric survival models, to use flexible parametric survival models and to introduce the concept of competing risks in modelling time-to-event data.

Course date 5 July 2021
Course fee £220
Course Organisers Dr Sue Ingle

Prerequisites

Please ensure you meet the following prerequisites before booking:

Knowledge Participants should be familiar with using Stata statistical software and implementing survival analyses within Stata. Participants should also be familiar with the basics of survival analysis, to at least the level attained from the short course on Introduction to Rates and Survival Analysis.
Software You must have Stata (version 11 or later, though we recommend more recent versions)* installed in advance of the course.
*Internal University of Bristol participants will be provided with access to Stata version 16 on the first day of the course.

Course format

This 1-day course will run online using Blackboard Collaborate.

Course objectives

By the end of the course students 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;
  4. 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 models, equivalent to the level taught in Introduction to Rates and Survival Analysis short course.

Course outline

  1. Parametric survival models
  2. Fexible parametric survival models
  3. Competing risks in survival analysis

Online Course Bookings


Bookings are open for online courses running in 2021.

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

Course feedback, July 2017

Coronavirus (COVID-19)

We may need to make responsive changes to our courses at short notice in order to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).

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