Training and Events
Advanced Multilevel Modelling using MCMC
|NCRM, University of Southampton|
Professor William Browne is Professor of Statistics at the Graduate School of Education, University of Bristol where he directs the Centre for Multilevel Modelling. His research interests are in statistical methodology, statistical software and application of statistics to complex datasets in many disciplines. He is one of the developers of MLwiN and Stat-JR and has worked at Bristol for 8 years. He has taught over 50 workshops on multilevel modelling and other advanced statistical modelling methods.
16/09/2015 - 18/09/2015
Building 39, University of Southampton, Highfield, Southampton, Hampshire
View in Google Maps (SO17 1BJ)
This workshop will introduce the theory and application of Bayesian Markov chain Monte Carlo (MCMC) methods for multilevel modelling. We will focus on advanced multilevel models that benefit from MCMC estimation including: binary response models; cross-classified and multiple membership models; multivariate response models; and multiple imputation models for missing data. We will provide an overview of the main MCMC algorithms and popular MCMC diagnostics and graphical tools for assessing convergence. Theory sessions are accompanied by practical sessions using our dedicated multilevel software packages, MLwiN and Stat-JR; participants get the chance to apply what they have learned to real social, behavioural and medical datasets. Both our software packages are currently free for UK academics. We will showcase methods implemented in MLwiN to speed up MCMC estimation. We will also highlight software interoperability features within Stat-JR that allow users to call other MCMC packages such as WinBUGS, and then return the model results to Stat-JR.
The course covers:
By the end of the course participants will:
The target audience is academic and other researchers from any discipline where multilevel modelling is required. The course is not introductory and so some previous knowledge of basic multilevel modelling is essential.
Advanced (specialised prior knowledge)
The fee is:
Website and registration
Statistical Theory and Methods of Inference, Bayesian methods, Multilevel Modelling , Quantitative Software, MLwiN, MCMC Methods , , , Stat-JR
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