Sample Size, Identifiability and MCMC Efficiency in Complex Random Effect Models

Lead Research Organisation: University of Nottingham
Department Name: Sch of Mathematical Sciences

Abstract

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Publications

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Browne WJ (2009) The use of simple reparameterizations to improve the efficiency of Markov chain Monte Carlo estimation for multilevel models with applications to discrete time survival models. in Journal of the Royal Statistical Society. Series A, (Statistics in Society)

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Browne WJ (2009) MCMC estimation in MLwiN

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Browne WJ (2009) A guide to sample size calculations for random effect models via simulation and the MLPowSim software package

 
Title MLPowSim 
Description Software for Multilevel power analysis along with 150 page manual in description 
Type Of Technology Software 
Year Produced 2009 
Impact The software has been downloaded several thousand times and been cited many times 
URL http://seis.bris.ac.uk/~frwjb/esrc.html