Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data
Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data
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DOI：
10.1002/sim.1589
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发表时间：
2004-01-15
影响因子：
2
通讯作者：
Min, YY
中科院分区：
文献类型：
--
作者：
Agresti, A;Min, YY
二元配对数据通常出现在纵向研究中，如交叉实验。许多用于比较特定结果的匹配概率的分析并不使用对于每个观察具有相同结果的对。一个例子是McNemar检验。一些方法论学家认为这是违反直觉的。我们审查这个问题的背景下，特定主题和人口平均模型的二进制数据，各种链接功能。对于标准模型和推断方法，具有相同结果的配对可能会影响效应的估计大小及其标准误，但它们对显著性的影响可以忽略不计（如果有的话）。我们还讨论了这个结果的匹配集的扩展。版权所有（C）2003约翰威利父子有限公司。
Binary matched-pairs data occur commonly in longitudinal studies, such as in cross-over experiments. Many analyses for comparing the matched probabilities of a particular outcome do not utilize pairs having the same outcome for each observation. An example is McNemar's test. Some methodologists find this to be counterintuitive. We review this issue in the context of subject-specific and population-averaged models for binary data, with various link functions. For standard models and inferential methods, pairs with identical outcomes may affect the estimated size of the effect and its standard error, but they have negligible, if any, effect on significance. We also discuss extension of this result to matched sets. Copyright (C) 2003 John Wiley Sons, Ltd.