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一个用于检验三维列联表中平均偏关联的计算机程序(PARCAT)。

A computer program for testing average partial association in three-way contingency tables (PARCAT).

作者信息

Landis J R, Cooper M M, Kennedy T, Koch G G

出版信息

Comput Programs Biomed. 1979 May;9(3):223-46. doi: 10.1016/0010-468x(79)90035-7.

Abstract

PARCAT is a computer program which implements alternative tests for average partial association in three-way contingency tables within the framework of the product multiple hypergeometric probability model. Primary attention is directed at the relationship between two of the variables, controlling for the effects of a covariable. This approach is essentially a multivariate extension of the Cochran/Mantel-Haenszel test to sets of (s x r) tables. A set of scores such as uniform, ridits, or probits can be assigned to categories which are ordinally scaled. In particular, if ridit scores with midranks assigned for ties are utilized, this procedure is equivalent to a partial Kruskal-Wallis test when one variable is ordinally scaled, and is equivalent to a partial Spearman rank correlation test when both variables are ordinally scaled.

摘要

PARCAT是一个计算机程序,它在乘积多元超几何概率模型的框架内,对三维列联表中的平均偏关联进行替代检验。主要关注两个变量之间的关系,同时控制协变量的影响。这种方法本质上是将 Cochr an/Mantel-Haenszel检验多元扩展到(s×r)表集。可以为按顺序缩放的类别分配一组分数,如均匀分数、ridit分数或概率单位分数。特别地,如果使用为平局分配中间秩的ridit分数,当一个变量按顺序缩放时,此过程等同于偏Kruskal-Wallis检验;当两个变量都按顺序缩放时,此过程等同于偏Spearman秩相关检验。

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