Heterogeneity among contingency tables diagnosed by hierarchical log-linear models and their effect on Biplots

C.R.G. Brighenti, Daniela Aparecida Mafra, M. A. Cirillo
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Abstract

The theory of singular value decomposition of matched matrices is used to verify the heterogeneity of rows, columns and between matched two-way tables. An exploratory analysis that can be visualized in biplots and through simulations studies with the hierarchical log-linear model using ordinary residuals and the components of residual deviance. The effect of heterogeneity was studied generating different sample sizes and their behavior was checked by adjusting Poisson’s model. We concluded that the model of ordinary residuals is the one that best reflects the degree of heterogeneity among the matched tables. Finally, na illustrative example is presented in order to guide the researcher to interpret the relationship between the results of the log-linear models with the biplots considering the effects between the sum and difference between the tables.
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层次对数线性模型诊断列联表的异质性及其对双图的影响
利用匹配矩阵的奇异值分解理论,验证了匹配双向表的行、列和表间的异质性。一种探索性分析,可以在双标图中可视化,并通过使用普通残差和残差分量的分层对数线性模型进行模拟研究。研究了产生不同样本量时异质性的影响,并通过调整泊松模型检验了它们的行为。我们得出结论,普通残差模型是最能反映匹配表之间异质性程度的模型。最后,为了指导研究者考虑表间和差的影响,解释对数线性模型结果与双标图之间的关系,给出了一个说明性的例子。
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12 weeks
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