高阶证据的最小非微观实例。

IF 5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Stephen R Cole, Bonnie E Shook-Sa, Paul N Zivich, Jessie K Edwards
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引用次数: 0

摘要

高阶证据(关于证据的证据)允许流行病学家和其他健康数据科学家考虑验证数据中的测量误差。在此,为了说明高阶证据的使用,我们提供了一个估算比例的最小非难例,并展示了高阶证据如何用于构建敏感性分析。所提出的方法提供了一种灵活的方法,可用于解释流行病学研究结果中的多级失真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A minimal nontrivial example of higher-order evidence.

Higher-order evidence (ie, evidence about evidence) allows epidemiologists and other health data scientists to account for measurement error in validation data. Here, to illustrate the use of higher-order evidence, we provide a minimal nontrivial example of estimating the proportion and show how higher-order evidence can be used to construct sensitivity analyses. The proposed method provides a flexible approach to account for multiple levels of distortion in the results of epidemiologic studies.

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来源期刊
American journal of epidemiology
American journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
7.40
自引率
4.00%
发文量
221
审稿时长
3-6 weeks
期刊介绍: The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research. It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.
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