A minimal nontrivial example of higher-order evidence
Stephen R. Cole, Bonnie E. Shook‐Sa, Paul N. Zivich, Jessie K. Edwards · American Journal of Epidemiology · 2024
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.