A fully Bayesian application of the Copas selection model for publication bias extended to network meta-analysis

• Published in: Statistics in medicine Vol. 32; no. 1; pp. 51 - 66
• Main Authors: Mavridis, Dimitris, Sutton, Alex, Cipriani, Andrea, Salanti, Georgia
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 15.01.2013; Wiley Subscription Services, Inc
• Subjects: antidepressants; Antidepressive Agents - therapeutic use; Bayes Theorem; Bayesian analysis; Bias; Depression - drug therapy; Humans; informative priors; Medical treatment; Meta-analysis; Meta-Analysis as Topic; mixed treatment comparison; Models, Statistical; multiple treatments; prior elicitation; Probability distribution; Publication Bias; small study effects

The Copas parametric model is aimed at exploring the potential impact of publication bias via sensitivity analysis, by making assumptions regarding the probability of publication of individual studies related to the standard error of their effect sizes. Reviewers often have prior assumptions about t...