Cole Stephen R, Shook-Sa Bonnie E, Zivich Paul N, Edwards Jessie K
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC, United States.
Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC, United States.
Am J Epidemiol. 2025 Apr 8;194(4):886-888. doi: 10.1093/aje/kwae321.
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.
高阶证据（即关于证据的证据）使流行病学家和其他健康数据科学家能够在验证数据中考虑测量误差。在此，为说明高阶证据的用途，我们提供一个估计比例的最小非平凡示例，并展示如何使用高阶证据进行敏感性分析。所提出的方法提供了一种灵活的方法来考虑流行病学研究结果中的多个层次的偏差。
