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双侧相关数据中许多对一比例比的同时置信区间构建。

Simultaneous confidence interval construction for many-to-one of proportion ratios of bilateral correlated data.

机构信息

Department of Biostatistics, University at Buffalo, Buffalo, New York, United States of America.

出版信息

PLoS One. 2024 Oct 15;19(10):e0311850. doi: 10.1371/journal.pone.0311850. eCollection 2024.

Abstract

In ophthalmology and otolaryngology, data collected from paired body parts are typically reformatted into categorical bilateral data structures for subsequent research. This article applies Donner's equal correlation coefficient model and obtains nine simultaneous confidence intervals (SCI) of proportion ratios under three asymptotic statistical methods and three ways of multiplicity adjustment. The empirical coverage probability and mean interval width are evaluated through Monte Carlo simulations. A real example is used to demonstrate the proposed methods.

摘要

在眼科学和耳鼻喉科学中,通常将来自成对身体部位的数据重新格式化为分类双侧数据结构,以便进行后续研究。本文应用唐纳(Donner)相等相关系数模型,并在三种渐近统计方法和三种多重调整方法下得到九个比例比的同时置信区间(SCI)。通过蒙特卡罗模拟评估经验覆盖率概率和平均区间宽度。使用真实示例来说明所提出的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4024/11478910/977b9758ce73/pone.0311850.g001.jpg

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