Longitudinal Data Analysis
This course is offered by the Institute of Epidemiology and Health Care. Further details and dates will be available in early 2016
The aim of the course is to provide an introduction to and hands on experience of the analysis longitudinal studies using:
- Random effects models for continuous outcome
- Growth curve models
- GEE models for continuous outcomes
- Random effects models for binary data
- GEE models for binary data
- Event history
The course will comprise 8 lectures of one hour length and 7 practicals of 90 minutes length, with tea breaks!
- Experience of STATA or similar package
- Experience of linear and logistic regression
- Experience of data analysis
Registration: Please note that this course is offered by Institute of Epidemiology and Health Care. For more information please contact the course organiser, Prof. Jenny Head.
Once you have completed the course, it will be necessary to log your points in your training log in the box at the bottom of this page. Attendance will be checked with the course tutor
Timetable from the November 2014 course is available here.
Researcher Development Framework CategoriesA1) Knowledge base
Course Recommended for
This course is particularly relevant to the following groups:
- Students in Social & Historical Sciences
- Students in Medical Sciences
- Students in Population Health Sciences
- Organiser - Prof Jenny Head - (Research Department of Epidemiology & Public Health)
- Organiser - Dr Owen Nicholas - (Research Department of Epidemiology & Public Health)
Registration information will be available in due course.