Introduction to Survival Analysis with STATA
Date:
03/05/2019
Organised by:
The University of Manchester
Presenter:
Dr Tina Hannemann
Level:
Entry (no or almost no prior knowledge)
Contact:
CMI Short Courses
cmi-shortcourses@manchester.ac.uk
0161 2751980
Description:
Outline
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.
Objectives
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.
Cost:
£195 (£140 for those from educational, government and charitable institutions)
Website and registration:
https://www.cmist.manchester.ac.uk/study/short/list/
Region:
North West
Keywords:
Analysis of existing survey data, Digital Social Research, Analysis of social media, Data Management , Data Quality and Data Management (other), Event History Analysis, Survival analysis, Stata
Related publications and presentations:
Analysis of existing survey data
Digital Social Research
Analysis of social media
Data Management
Data Quality and Data Management (other)
Event History Analysis
Survival analysis
Stata