Commentary: Continuing the E-value's post-publication peer review.
作者信息
Poole Charles
出版信息
Int J Epidemiol. 2020 Oct 1;49(5):1497-1500. doi: 10.1093/ije/dyaa097.
Abstract
摘要
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Use of E-values for addressing confounding in observational studies-an empirical assessment of the literature.使用 E 值解决观察性研究中的混杂问题——文献的实证评估。
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2
Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies.使用E值评估观察性研究中未测量混杂因素的潜在影响。
JAMA. 2019 Feb 12;321(6):602-603. doi: 10.1001/jama.2018.21554.
3
Correcting Misinterpretations of the E-Value.纠正对E值的误解。
Ann Intern Med. 2019 Jan 15;170(2):131-132. doi: 10.7326/M18-3112. Epub 2019 Jan 1.
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Limitations and Misinterpretations of E-Values for Sensitivity Analyses of Observational Studies.观察性研究敏感性分析中 E 值的局限性和误解。
Ann Intern Med. 2019 Jan 15;170(2):108-111. doi: 10.7326/M18-2159. Epub 2019 Jan 1.
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Epidemiology. 2018 Sep;29(5):e45-e47. doi: 10.1097/EDE.0000000000000864.
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Sensitivity Analysis in Observational Research: Introducing the E-Value.观察性研究中的敏感性分析：引入 E 值。
Ann Intern Med. 2017 Aug 15;167(4):268-274. doi: 10.7326/M16-2607. Epub 2017 Jul 11.
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Sensitivity Analysis for Unmeasured Confounding: E-Values for Observational Studies.未测量混杂因素的敏感性分析：观察性研究的E值
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