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Cathie Marsh Institute for Social Research (CMI)

Introduction to Survival Analysis with STATA

Dates: 23 January 2020
Instructor: Tina Hannemann
Level: Introductory 
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 click here to make a booking. If you are applying for a subsidised place, select the £60 University of Manchester option on the booking form. For queries about methods@manchester bursaries, contact methods@manchester.ac.uk (please note, you must have a confirmed place on the course before requesting a bursary application form). For any other queries about short courses, please contact cmi-shortcourses@manchester.ac.uk.

Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.

Outline

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 the preparation of datasets, discuss some common pitfalls and train the participants in 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.

Objectives

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 for this method
  • Data manipulation as preparation for survival analysis
  • Analysis and interpretation of results in Stata
  • Graphical representation of results with Stata 
  • Integration of time-constant and time-varying covariates

On completion of the course, participants will have the necessary familiarity with the survival analysis method and the data manipulation skills required to move on to their own projects. The emphasis on the theoretical background and survival analysis technique will enable the participants to extrapolate their gained knowledge to any software and research topic. We use Stata as a programming tool, but students will be able to extrapolate course content to other programming software. 

Prerequisites

No previous knowledge of survival analysis is required, as this course will introduce the participants to the statistical method. All method-related programming will be explained during the course. Therefore, the 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.

Recommended Reading

  • 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

About the instructor

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