Analysis of clustered matched-pair data
Analysis of clustered matched-pair data
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DOI：
10.1002/sim.1438
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发表时间：
2003-08-15
影响因子：
2
通讯作者：
Rust, PF
中科院分区：
文献类型：
--
作者：
Durkalski, VL;Palesch, YY;Rust, PF
在实践中，经常出现相对于标准程序对新诊断程序的性能进行评价的情况。感兴趣的反应，通常以二分的形式，测量两次，每个程序一次。这两个程序被管理给两个匹配的个体，或者在实际情况下，管理给同一个个体。匹配对数据的大样本检验是McNemar检验。该测试的主要假设是独立的配对反应;然而，当每个程序测量一个人的多个结果时，数据会被聚类。这种情况的例子可以在牙科和眼科研究中看到。已经提出了用于聚类匹配对数据分析的方差调整方法;然而，由于不相等的聚类大小，聚类内（聚类中的配对响应内以及聚类中的配对响应之间）的相关结构的可变性，以及聚类之间的不相等的成功概率，一些可用方法的性能并不一致。本研究提出了一个简单的调整，McNemar测试聚类配对数据的分析。利用矩量法计算一致方差估计量。使用Monte Carlo模拟，所提出的测试的大小和功率进行比较，目前可用的两种方法。为了说明实际应用，聚类配对数据从两个临床研究进行了分析。版权所有（C）2003约翰威利父子有限公司。
Evaluation of the performance of a new diagnostic procedure with respect to a standard procedure arises frequently in practice. The response of interest, often in a dichotomous form, is measured twice, once with each procedure. The two procedures are administered to either two matched individuals, or when practical, to the same individual. A large sample test for matched-pair data is the McNemar test. The main assumption of this test is independent paired responses; however, when more than one outcome from an individual is measured by each procedure, the data are clustered. Examples of such cases can be seen in dental and ophthalmology studies. Variance adjustment methods for the analysis of clustered matched-pair data have been proposed; however, because of unequal cluster sizes, variability of correlation structures within a cluster (within paired responses in a cluster as well as between paired responses in a cluster), and unequal success probabilities among the clusters, the performances of some available methods are not consistent. This research proposes a simple adjustment to the McNemar test for the analysis of clustered matched-pair data. Method of moments is used to calculate a consistent variance estimator. Using Monte Carlo simulation, the size and power of the proposed test are compared to those of two currently available methods. To illustrate practical application, clustered matched-pair data from two clinical studies are analysed. Copyright (C) 2003 John Wiley Sons, Ltd.