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A likelihood-based sensitivity analysis for publication bias in meta-analysis

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  • John B. Copas

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  • John B. Copas, 2013. "A likelihood-based sensitivity analysis for publication bias in meta-analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(1), pages 47-66, January.
    • Handle: RePEc:bla:jorssc:v:62:y:2013:i:1:p:47-66
    DOI: j.1467-9876.2012.01049.x
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    File URL: http://hdl.handle.net/10.1111/j.1467-9876.2012.01049.x
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    Cited by:

    1. Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," EconStor Preprints 268683, ZBW - Leibniz Information Centre for Economics.
    2. Chiabai, Aline & Quiroga, Sonia & Martinez-Juarez, Pablo & Suárez, Cristina & García de Jalón, Silvestre & Taylor, Tim, 2020. "Exposure to green areas: Modelling health benefits in a context of study heterogeneity," Ecological Economics, Elsevier, vol. 167(C).
    3. Ao Huang & Kosuke Morikawa & Tim Friede & Satoshi Hattori, 2023. "Adjusting for publication bias in meta‐analysis via inverse probability weighting using clinical trial registries," Biometrics, The International Biometric Society, vol. 79(3), pages 2089-2102, September.
    4. John Copas, 2022. "Akaike Memorial Lecture 2020: Some of the challenges of statistical applications," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 615-637, August.
    5. Minna Genbäck & Elena Stanghellini & Xavier Luna, 2015. "Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome," Statistical Papers, Springer, vol. 56(3), pages 829-847, August.

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