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Discussion of “quantifying publication bias in meta‐analysis” by Lin et al

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  • Christopher H. Schmid

Abstract

Inspection and analysis of funnel plots cannot reliably identify publication and reporting bias, the non‐publication of results that are not statistically significant. Instead, researchers should thoroughly and systematically search available information sources such as databases, registries and unpublished reports. Even then, it is not possible to ever know whether a systematic review has uncovered all available studies, but the search can inform attempts to construct plausible statistical models of the missing data mechanism.

Suggested Citation

  • Christopher H. Schmid, 2018. "Discussion of “quantifying publication bias in meta‐analysis” by Lin et al," Biometrics, The International Biometric Society, vol. 74(3), pages 797-799, September.
    • Handle: RePEc:bla:biomet:v:74:y:2018:i:3:p:797-799
    DOI: 10.1111/biom.12816
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    References listed on IDEAS

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    1. J. Copas, 1999. "What works?: selectivity models and meta‐analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 95-109.
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