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Mantel-Haenszel estimators of a common odds ratio for multiple response data

机译:多重响应数据的公共比值比的Mantel-Haenszel估计量

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For a two-way contingency table, odds ratios are commonly used to describe the relationships between the row and column variables. In the ordinary case cells are mutually exclusive, that is each subject must fit into one and only one cell. However, in many surveys respondents may select more than one outcome category, commonly referred to as multiple responses. We discuss model-based and Mantel-Haenszel estimators of an assumed common odds ratio for several 2xc tables, where the two rows refer to independent groups and the c columns to multiple responses, treating the multiple responses as an extension of the multinomial sampling model. We derive new dually consistent (co)variance estimators for the Mantel-Haenszel odds ratio estimators and show their performance in a simulation study and illustrate the estimators on a linguistic data set.
机译:对于双向列联表,通常使用比值比来描述行变量和列变量之间的关系。在通常情况下,单元格是相互排斥的,也就是说,每个受试者必须适合一个且只有一个单元格。但是,在许多调查中,受访者可能会选择一个以上的结果类别,通常称为多重回答。我们讨论了几个2xc表的假定通用优势比的基于模型的估计和Mantel-Haenszel估计,其中两行引用独立的组,c列引用多个响应,将多个响应视为多项式采样模型的扩展。我们为Mantel-Haenszel比值比估计器推导了新的双重一致(协)方差估计器,并在模拟研究中显示了它们的性能,并在语言数据集上说明了这些估计器。

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