An Introduction to Applied Multilevel Analysis
Posted on 10 September 2013
An Introduction to Applied Multilevel Analysis aims to equip students with the necessary skills and knowledge to facilitate multilevel analysis of data by means of lectures and hands-on analysis of data from real studies, using the statistical software package STATA.
The importance of modelling complex data structures effectively is summed up by Harvey Goldstein, Professor of Social Statistics at the University of Bristol: "Social and medical researchers have long been concerned about the need to properly model complex data structures, especially those where there is a hierarchical structure such as pupils nested within schools... failure to take account of such structures in standard models can lead to incorrect inferences. What has been less well appreciated is that a failure to properly model complex data structures makes it impossible to capture the complexity that exists in the real world".
The course will cover multilevel modelling for the following types of response data: continuous, binary, count and time-to-event data. It will also cover Clustered Randomised Controlled Trials. The four day teaching event from the 4-7 December at the University will be followed by a period of private study. The course is supported by the Virtual Learning Environment (VLE) with online materials and discussion boards.
The course is suitable for graduates with a first degree in a health-related or social science discipline and knowledge of regression analysis. For more information about the course and to complete an online application form, please see http://www.york.ac.uk/healthsciences/gradschool/intro-multi/ or contact Student Information Service on 01904 321321 or email dohs-ssprd@york.ac.uk.