Introduction to Rates and Survival Analysis
Date:
05/05/2027 - 07/05/2027
Organised by:
University of Bristol Medical School Online Short Course Programme
Presenter(s):
Dr David Carslake and Dr Annie Herbert
Level:
Intermediate (some prior knowledge)
Contact:
Bristol Medical School Short Course Programme
University of Bristol
short-course@bristol.ac.uk
+ 44 117 455 5987
www.bristol.ac.uk/medical-school-short-courses
Venue: Online
This course introduces the analysis of survival-time outcomes, consisting of the time each person "survives" until some specified event occurs. Bristol Medical School staff teaching on this course use diverse survival analysis methods in their research.
This course aims to give students a grounding in the theory behind the methods most commonly used to analyse rates and survival-time data, as well as extensive hands-on experience of their application in Stata software.
The course will cover:
1. definition of rates and the relation between risks and rates;
2. manipulating person-time data in Stata using the st commands;
3. analysis of rates using Mantel-Haenszel methods and Poisson regression;
4. splitting follow-up time to allow for exposures that change with time;
5. introduction to survival analysis;
6. log rank tests and Cox proportional hazards regression;
7. testing for proportional hazards and modelling non-proportional hazards;
8. survival-time data management; and
9. choosing between survival analysis methods.
Please note that 'repeated measures' analyses, in which multiple events or measurements are recorded in the same person over time, are not covered in this course.
Cost:
£750
Website and registration:
Region:
South West
Keywords:
Survival analysis, Poisson regression
Related publications and presentations from our eprints archive:
Survival analysis
Poisson regression