论文标题
用于检测离群评估者的假设测试
Hypothesis Testing for Detecting Outlier Evaluators
论文作者
论文摘要
在流行病学研究中，经常，评估者获得研究参与者疾病结局的测量。在本文中，我们提出了一个两阶段的程序来检测离群评估者。在第一阶段，拟合回归模型以获得评估者的效果。与正常评估者相比，离群评估者被认为是具有不同影响的评估者。在第二阶段，进行逐步假设检验以检测异常值评估者。在模拟研究中评估了所提出程序的真正正率和真正的负率。我们采用了提出的方法来检测听力学家的潜在观测师，他们测量了听力研究的听力学评估部门的听力阈值水平，这是一项研究听力损失风险因素的流行病学研究。
In epidemiological studies, very often, evaluators obtain measurements of disease outcomes for study participants. In this paper, we propose a two-stage procedure for detecting outlier evaluators. In the first stage, a regression model is fitted to obtain the evaluators' effects. The outlier evaluators are considered as those with different effects compared with the normal evaluators. In the second stage, stepwise hypothesis testings are performed to detect outlier evaluators. The true positive rate and true negative rate of the proposed procedure are assessed in a simulation study. We apply the proposed method to detect potential outlier audiologists among the audiologists who measured hearing threshold levels of the participants in the Audiology Assessment Arm of the Conservation of Hearing Study, which is an epidemiological study for examining risk factors of hearing loss.
