Multilevel Modelling

 

Aim of the course

By the end of the course, delegates should be able to:

• discuss the lack of independence in complex data structures
• identify when to use MLM
• discuss the general concepts of MLM
• implement MLMs using MLwiN
• comprehend MLwiN output
• interpret the model
• assess model residuals
• indicate a model checking strategy
• explain MCMC
• recognise some non-hierarcherical data structures

 

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