|Royal Statistical Society|
Professor George Leckie and Professor William J Browne
24/02/2021 - 25/02/2021
12 Errol Street
View in Google Maps (EC1Y 8LX)
This two-day course is designed to give participants an introduction to the theory and application of multilevel regression models for clustered or hierarchical data using the MLwiN statistical software package. We focus on two-level linear and logistic regression models for cross-sectional (individuals nested within groups) and longitudinal (repeated measures nested within individuals) data. The course consists of a 2:1 mix of lectures and “hands on” practical sessions using MLwiN. Each new modelling development is illustrated with real applications to social, behavioural and medical science data sets.
An understanding of the issues raised by missing data and of appropriate methods for dealing with missing data in multilevel models.
Applied quantitative researchers with an interest in the analysis of clustered cross-sectional and longitudinal data.
The course will not assume a high level of statistical knowledge, but participants will be expected to have a good understanding and experience of applying and interpreting conventional linear and logistic regression models. A set of on-line training materials to enable participants to refresh their knowledge of these topics are available from the Centre for Multilevel Modelling (CMM) website in Bristol (http://www.cmm.bristol.ac.uk/learning-training/course.shtml).
Delegates will need to download the latest version of MLwiN onto their laptop and bring this to the course, as this will be used during the workshop: http://www.bristol.ac.uk/cmm/software/mlwin/download/
“The course was organised and the topics were well-structured.”
Advanced (specialised prior knowledge)
£588 - £816 (inc VAT)
Website and registration
Quantitative Data Handling and Data Analysis, Multilevel Modelling , Multilevel regression models , Clustered data , Hierarchical data , Longitudinal data , Multilevel models , Growth-curve
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