Fung K Y, Krewski D, Rao J N, Scott A J
Department of Mathematics & Statistics, University of Windsor, Ontario, Canada.
Risk Anal. 1994 Aug;14(4):639-48. doi: 10.1111/j.1539-6924.1994.tb00277.x.
In this article, the operating characteristics of recently proposed tests for trend in correlated binary data arising in laboratory studies of developmental toxicity are examined using both computer-generated and experimental data. Specifically, we consider adjusted Cochran-Armitge tests based on the Rao-Scott transformation which are of the same general form as that for uncorrelated data. In addition, generalized score tests based on generalized estimating equations allowing for extrabinomial variation in the data are discussed. Specific forms of these statistics demonstrating favorable type I and type II error rates are identified and recommended for use in practice. The application of these tests is illustrated using data from studies of developmental toxicity that have been reported in the literature.
在本文中，我们使用计算机生成的数据和实验数据，检验了最近提出的用于发育毒性实验室研究中相关二元数据趋势检验的操作特性。具体而言，我们考虑基于Rao-Scott变换的调整Cochran-Armitge检验，其一般形式与用于不相关数据的检验相同。此外，还讨论了基于广义估计方程的广义得分检验，该检验考虑了数据中的超二项变异。确定了这些统计量的具体形式，它们具有良好的I型和II型错误率，并推荐在实际中使用。利用文献中报道的发育毒性研究数据说明了这些检验的应用。
