Mathematics and Statistics Vol. 4(3), pp. 76 - 80
DOI: 10.13189/ms.2016.040302
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Uncoupling Multidimensional Contingency Tables

Helmut Vorkauf ^*
Bern, Switzerland, in Retirement

ABSTRACT

A parsimonious and robust new method, based on information theory, to analyze multidimensional contingency tables is presented. It swiftly reveals the important relations between dependent and independent variables and casually detects confounding effects in a straightforward manner. The method in its simplicity could replace logistic regression and log-linear analysis that, in dealing with their limitations and defects, have grown complicated and convoluted.

KEYWORDS
Contingency Table, Confounding, Strength of Effect, Log-linear Model, Logistic Regression

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Helmut Vorkauf , "Uncoupling Multidimensional Contingency Tables," Mathematics and Statistics, Vol. 4, No. 3, pp. 76 - 80, 2016. DOI: 10.13189/ms.2016.040302.

(b). APA Format:
Helmut Vorkauf (2016). Uncoupling Multidimensional Contingency Tables. Mathematics and Statistics, 4(3), 76 - 80. DOI: 10.13189/ms.2016.040302.