Hypothesis testing for detecting outlier evaluators.

IF 1.2 4区 数学
International Journal of Biostatistics Pub Date : 2024-11-04 eCollection Date: 2024-11-01 DOI:10.1515/ijb-2023-0004
Li Xu, David M Zucker, Molin Wang
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引用次数: 0

Abstract

In epidemiological studies, the measurements of disease outcomes are carried out by different evaluators. 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. Outlier evaluators have different effects than normal evaluators. In the second stage, stepwise hypothesis tests 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.

检测离群评估员的假设检验。
在流行病学研究中,对疾病结果的测量是由不同的评估者进行的。本文提出了一种分两个阶段检测离群评价者的方法。在第一阶段,拟合回归模型以获得评价者的效应。离群评价者与正常评价者的效果不同。在第二阶段,通过逐步假设检验来检测离群评价者。在模拟研究中评估了建议程序的真阳性率和真阴性率。听力保护研究是一项流行病学研究,旨在检查听力损失的风险因素。我们采用所提出的方法,从测量听力保护研究听力评估臂参与者听力阈值水平的听力学家中检测出潜在的离群听力学家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Biostatistics
International Journal of Biostatistics Mathematics-Statistics and Probability
CiteScore
2.30
自引率
8.30%
发文量
28
期刊介绍: The International Journal of Biostatistics (IJB) seeks to publish new biostatistical models and methods, new statistical theory, as well as original applications of statistical methods, for important practical problems arising from the biological, medical, public health, and agricultural sciences with an emphasis on semiparametric methods. Given many alternatives to publish exist within biostatistics, IJB offers a place to publish for research in biostatistics focusing on modern methods, often based on machine-learning and other data-adaptive methodologies, as well as providing a unique reading experience that compels the author to be explicit about the statistical inference problem addressed by the paper. IJB is intended that the journal cover the entire range of biostatistics, from theoretical advances to relevant and sensible translations of a practical problem into a statistical framework. Electronic publication also allows for data and software code to be appended, and opens the door for reproducible research allowing readers to easily replicate analyses described in a paper. Both original research and review articles will be warmly received, as will articles applying sound statistical methods to practical problems.
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