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Longitudinal Data Analysis

Course Description

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!  

Pre-requisites are: 

  • 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 Categories

A1) 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

Course Organisers

  • Organiser - Prof Jenny Head - (Research Department of Epidemiology & Public Health)
  • Organiser - Dr Owen Nicholas - (Research Department of Epidemiology & Public Health)



Organiser: Institute of Epidemiology and Health Care

Description:Once you have completed your training, please log your points here.
Preparatory Work:

Page last updated: 23rd April 2015