On log-linear modeling for an incomplete two-way contingency table with one variable subject to nonresponse

On log-linear modeling for an incomplete two-way contingency table with one variable subject to nonresponse
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关于一个变量无响应的不完全双向列联表的对数线性建模

DOI:
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发表时间:
2018
期刊:
Communications in statistics. Simulation and computation
影响因子:
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通讯作者:
Daeyoung Kim
Daeyoung Kim
中科院分区:
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文献类型:
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作者:
Seongyong Kim;Saebom Jeon;Daeyoung Kim

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本文讨论了用无响应对数线性模型分析一个变量为无响应的不完全双向列联表的两个问题,即无响应边界解的出现和缺失数据机制的评估。为此,我们采用了一组来自完全分类计数的应答赔率和来自部分分类计数的无应答赔率。我们首先研究了ODDS集在识别边界解的出现和评估适合于数据的非响应对数线性模型中的作用,然后提出了分析不完全双向列联表的数据分析准则。当无响应边界解出现时,我们还考察了概率集的理论性质。
Abstract In this paper we address two issues in the use of the nonresponse log-linear models for the analysis of an incomplete two-way contingency table with one variable subject to nonresponse, the occurrence of nonresponse boundary solutions and the assessment of the missing data mechanism. To this end, we employ a set of response odds from the fully classified counts and nonresponse odds from partially classified counts. We first investigate the role of the set of odds in identifying the occurrence of boundary solutions and assessing the nonresponse log-linear models suitable for the data, and then propose a data analytic guideline for the analysis of an incomplete two-way contingency table. We also examine the theoretical properties of the set of odds when nonresponse boundary solutions occur.