Introduction to Survival Analysis with STATA (Formerly Introduction to Event History Analysis with STATA)
Dates: 3 May 2019 (New date)
Instructor: Tina Hannemann
Fee: £195 (£140 for those from educational, government and charitable institutions).
CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application.
Humanities PGR students at The University of Manchester can apply for a methods@manchester bursary to help cover their costs. All applications will be considered on a case-by-case basis and applicants will be required to provide a supporting statement from their supervisor.
Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.
This course is designed for people who are familiar with the Stata software and want to use it for analysing survival/event history data.
- Theoretical foundation of survival analysis
- Finding appropriate research questions
- Data manipulation as preparation for survival analysis
- Analysis and interpretation of results
- Graphical representation of results
- Integration of time-constant and time-varying covariates
On completion of the course, participants will have the necessary familiarity with the survival analysis and the data manipulation required in Stata to move on to their own projects.
This course aims to introduce participants to the theory and concept of survival analysis and provides strategies to decide for which research questions this method has benefits over alternative approaches. The course will further cover preparation of datasets, discuss some common pitfalls and train the participants in the interpretation of statistical and graphical results. The practical exercises should enable the participants to set up data and conduct analysis on their own. During the exercise, we use the software package STATA but participants should be able to extrapolate their gained knowledge to any software and research topic.
No previous knowledge of survival analysis is required, as this course will introduce the participants to the statistical method. All related programming will be explained during the course; therefore, familiarity of the Stata environment, basic command files and manipulation are essential in order to get the most out of this course, especially the practical exercises.
- Blossfeld, H.-P. (2007). Event history analysis with Stata. Event history analysis with Stata. Mahwah, N.J. : Lawrence Erlbaum Associates
- Delarre, S. (2009). Event History Analysis with Stata. Population, 64(1), 236–237