List members may be interested in the following training course by the National Centre for Research Methods (NCRM):
Course: Advanced Multilevel Modelling using MCMC
Date and place: 16-18 September 2015, University of Southampton
Fees: £90 for UK registered students; £180 for staff at UK academic institutions, UK Research Councils researchers, UK public sector staff and staff at UK registered charity organisations and recognised UK research institutions; £660 for all other participants.
Presenters: Professor William Browne (Professor of Statistics at the Graduate School of Education, University of Bristol) and Dr George Leckie (Senior Lecturer in Social Statistics at the Graduate School of Education, University of Bristol)
Further info and registration: http://go.soton.ac.uk/6ff
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.
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