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Bayesian analysis in Stata with WinBUGS AgEcon
Thompson, John M.; Palmer, Tom M.; Moreno, Santiago G..
WinBUGS is a program for Bayesian model fitting by Gibbs sampling. WinBUGS has limited facilities for data handling, whereas Stata has no routines for Bayesian analysis; therefore, much can be gained by running Stata and WinBUGS together. We present a set of ado-files that enable data to be processed in Stata and then passed to WinBUGS for model fitting; finally, the results are read back into Stata for further processing.
Tipo: Article Palavras-chave: Wbarray; Wbdata; Wbscalar; Wbstructure; Wbvector; Wbrun; Wbscript; Wbcoda; Wbac; Wbbgr; Wbgeweke; Wbintervals; Wbsection; Wbtrace; Wbstats; Wbdensity; Wbdic; Wbbull; Wbdecode; Bayesian methods; MCMC; Gibbs sampling; WinBUGS; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/119243
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Contour–enhanced funnel plots for meta–analysis AgEcon
Palmer, Tom M.; Peters, Jaime L.; Sutton, Alex J.; Moreno, Santiago G..
Funnel plots are commonly used to investigate publication and related biases in meta-analysis. Although asymmetry in the appearance of a funnel plot is often interpreted as being caused by publication bias, in reality the asymmetry could be due to other factors that cause systematic differences in the results of large and small studies, for example, confounding factors such as differential study quality. Funnel plots can be enhanced by adding contours of statistical significance to aid in interpreting the funnel plot. If studies appear to be missing in areas of low statistical significance, then it is possible that the asymmetry is due to publication bias. If studies appear to be missing in areas of high statistical significance, then publication bias is a...
Tipo: Article Palavras-chave: Confunnel; Funnel plots; Meta-analysis; Publication bias; Small-study effects; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122589
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