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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Organisations
People |
ORCID iD |
William Browne (Principal Investigator) |
Publications
Browne WJ
(2009)
MCMC estimation in MLwiN
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)
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 |