Multilevel modelling for health research (fully booked)
Date:
24/06/2013 - 26/06/2013
Organised by:
University College London
Presenter:
Jenny Head
Level:
Advanced (specialised prior knowledge)
Contact:
Jenny Head, j.head@ucl.ac.uk
This course aims to provide students with a solid grounding in the theory of multilevel models and enable students to perform and interpret multilevel model analyses. Clustered or hierarchical data is common in health and social sciences research. For example, individuals may be nested within a geographical area or within schools, hospitals or workplaces. Hierarchical data also arises in longitudinal studies where repeated measures on the same individual are collected over time. This course will cover concepts of multilevel models and how to analyse continuous and binary data outcomes in a multilevel framework. Examples will be taken from education and health research. The course will be a mixture of theoretical sessions and practical sessions to illustrate the theoretical concepts.Topics to be covered will include: Introduction to multilevel models, random intercept and random coefficient (slope) models, examining residuals, hypothesis testing, multilevel models for binary data and an introduction to multilevel models for repeated measures/longitudinal data.
Cost:
£90
Region:
Greater London
Keywords:
Multilevel Modelling , Quantitative Approaches (other), Quantitative Software
Related publications and presentations from our eprints archive:
Multilevel Modelling
Quantitative Approaches (other)
Quantitative Software