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[(多维)列联表分析中两种信息提取可能性的比较。以一个医学社会学实例说明]

[Comparison of 2 possibilities for extracting information in the analysis of (multi-dimensional) contingency tables. Demonstrated with a medical-sociologic example].

作者信息

Enke H

出版信息

Z Gesamte Hyg. 1989 May;35(5):275-9.

PMID:2750236
Abstract

In several papers the author has stressed the importance of qualitative characters in medical studies. From this follows the necessity of analysing more-dimensional contingency tables. In the first part of this paper the most important results are repeated. Two procedures may be distinguished: 1. A three-step procedure, called Elementary More-Dimensional Contingency Analysis (EMCTA) with and without model fitting 2. A combined Residual and Contrast Analysis (RA/CA). By the aid of a medical example it is shown, in the second part of the paper, that it is possible to extract rather easily all information about interesting dependencies be the aid of RA/CA in the case of one response variable.

摘要

作者在多篇论文中强调了定性特征在医学研究中的重要性。由此得出分析多维列联表的必要性。本文第一部分重复了最重要的结果。可以区分两种方法:1. 一种三步法,称为带或不带模型拟合的基本多维列联分析(EMCTA);2. 残差与对比分析相结合(RA/CA)。在本文的第二部分,借助一个医学实例表明,在只有一个响应变量的情况下,借助RA/CA可以相当容易地提取出有关有趣依存关系的所有信息。

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