Meta-Analysis in Open Bugs: How To Assess the Convergence of Mcmc Chain?

Abstract

• We have evaluated the performance of these diagnoses in three scenario created in R 3.1.0:  Scenario 1: Insufficient burn-in + large sample size for outcome evaluation (20,000)  Scenario 2: Insufficient burn-in + high auto-correlation in the Markov Chain (0.8)  Scenario 3: Insufficient burn-in + correlated outcomes Laliman V1, Roïz J2 1Ensai student… (More)
DOI: 10.1016/j.jval.2014.08.1944

Cite this paper

@article{Laliman2014MetaAnalysisIO, title={Meta-Analysis in Open Bugs: How To Assess the Convergence of Mcmc Chain?}, author={V Laliman and Julie Ro{\"{i}z}, journal={Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research}, year={2014}, volume={17 7}, pages={A577} }