Sensitivity analysis for publication bias in meta‐analysis of diagnostic studies for a continuous biomarker

• Published in: Statistics in medicine 2018-02, Vol.37 (3), p.327-342
• Main Authors: Hattori, Satoshi, Zhou, Xiao‐Hua
• Format: Article
• Language: English
• Subjects: Bias; Biomarkers; bivariate binomial model; Copas selection model; copula; Meta-analysis; Sensitivity analysis; summary receiver operating characteristics
• ISSN: 0277-6715; 1097-0258
• DOI: 10.1002/sim.7510

Publication bias is one of the most important issues in meta‐analysis. For standard meta‐analyses to examine intervention effects, the funnel plot and the trim‐and‐fill method are simple and widely used techniques for assessing and adjusting for the influence of publication bias, respectively. However, their use may be subjective and can then produce misleading insights. To make a more objective inference for publication bias, various sensitivity analysis methods have been proposed, including the Copas selection model. For meta‐analysis of diagnostic studies evaluating a continuous biomarker, the summary receiver operating characteristic (sROC) curve is a very useful method in the presence of heterogeneous cutoff values. To our best knowledge, no methods are available for evaluation of influence of publication bias on estimation of the sROC curve. In this paper, we introduce a Copas‐type selection model for meta‐analysis of diagnostic studies and propose a sensitivity analysis method for publication bias. Our method enables us to assess the influence of publication bias on the estimation of the sROC curve and then judge whether the result of the meta‐analysis is sufficiently confident or should be interpreted with much caution. We illustrate our proposed method with real data.