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检验分层配对二元数据中层效应的同质性。

Testing homogeneity of stratum effects in stratified paired binary data.

作者信息

Zhao Yan D, Rahardja Dewi, Wang De-Hui, Shen Haili

机构信息

a Department of Biostatistics and Epidemiology , University of Oklahoma Health Sciences Center , Oklahoma City , Oklahoma , USA.

出版信息

J Biopharm Stat. 2014;24(3):600-7. doi: 10.1080/10543406.2014.888440.

DOI:10.1080/10543406.2014.888440
PMID:24697196
Abstract

For paired binary data, McNemar's test is widely used to test marginal homogeneity or symmetry for a 2 by 2 contingency table. In this article, we extend McNemar's test by considering a series of paired binary data in which the series is defined by a stratification factor. We provide a test for testing homogeneous stratum effects. For illustration, we apply our test to a cancer epidemiology study. Finally, we conduct simulations to show that our test preserves the nominal type I error level and evaluate the power of our test under various scenarios.

摘要

对于配对二元数据,McNemar检验被广泛用于检验2×2列联表的边际同质性或对称性。在本文中,我们通过考虑一系列由分层因素定义的配对二元数据来扩展McNemar检验。我们提供了一种检验同质性分层效应的方法。为了说明,我们将我们的检验应用于一项癌症流行病学研究。最后,我们进行模拟以表明我们的检验保持了名义I型错误水平,并在各种情况下评估了我们检验的功效。

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