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A confidence interval robust to publication bias for random‐effects meta‐analysis of few studies
Author(s) -
Henmi Masayuki,
Hattori Satoshi,
Friede Tim
Publication year - 2021
Publication title -
research synthesis methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.376
H-Index - 35
eISSN - 1759-2887
pISSN - 1759-2879
DOI - 10.1002/jrsm.1482
Subject(s) - meta analysis , publication bias , funnel plot , confidence interval , estimator , statistics , computer science , random effects model , coverage probability , study heterogeneity , econometrics , interval (graph theory) , mathematics , medicine , combinatorics
In meta‐analyses including only few studies, the estimation of the between‐study heterogeneity is challenging. Furthermore, the assessment of publication bias is difficult as standard methods such as visual inspection or formal hypothesis tests in funnel plots do not provide adequate guidance. Previously, Henmi and Copas (Statistics in Medicine 2010, 29: 2969–2983) proposed a confidence interval for the overall effect in random‐effects meta‐analysis that is robust to publication bias to some extent. As is evident from their simulations, the confidence intervals have improved coverage compared with standard methods. To our knowledge, the properties of their method have never been assessed for meta‐analyses including fewer than five studies. In this manuscript, we propose a variation of the method by Henmi and Copas employing an improved estimator of the between‐study heterogeneity, in particular when dealing with few studies only. In a simulation study, the proposed method is compared to several competitors. Overall, we found that our method outperforms the others in terms of coverage probabilities.