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Testing homogeneity of difference of two proportions for stratified correlated paired binary data

机译:测试分层相关配对二元数据的两个比例之差的同质性

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摘要

In ophthalmologic or otolaryngologic study, each subject may contribute paired organs measurements to the analysis. A number of statistical methods have been proposed on bilateral correlated data. In practice, it is important to detect confounding effect by treatment interaction, since ignoring confounding effect may lead to unreliable conclusion. Therefore, stratified data analysis can be considered to adjust the effect of confounder on statistical inference. In this article, we investigate and derive three test procedures for testing homogeneity of difference of two proportions for stratified correlated paired binary data in the basis of equal correlation model assumption. The performance of proposed test procedures is examined through Monte Carlo simulation. The simulation results show that the Score test is usually robust on type I error control with high power, and therefore is recommended among the three methods. One example from otolaryngologic study is given to illustrate the three test procedures.
机译:在眼科或耳鼻喉科研究中,每个受试者可能会对配对的器官测量值做出贡献。已经针对双边相关数据提出了许多统计方法。在实践中,通过治疗相互作用检测混杂效应很重要,因为忽略混杂效应可能导致不可靠的结论。因此,可以考虑使用分层数据分析来调整混杂因素对统计推断的影响。在本文中,我们研究并推导了在等相关模型假设的基础上,针对分层相关对成对二进制数据测试两个比例差异均一性的三种测试方法。建议的测试程序的性能通过蒙特卡洛模拟进行检查。仿真结果表明,Score测试通常对高功率的I型错误控制具有鲁棒性,因此推荐在这三种方法中使用。给出了一个来自耳鼻喉科研究的例子来说明这三种测试程序。

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