A more powerful unconditional exact test of homogeneity for 2 × c contingency table analysis

A new exact and more powerful unconditional test of no treatment effect from binary matched pairs.

We consider the problem of testing for a difference in the probability of success from matched binary pairs. Starting with three standard inexact tests, the nuisance parameter is first estimated and then the residual dependence is eliminated by maximization, producing what I call an E+M P-value. The E+M P-value based on McNemar's statistic is shown numerically to dominate previous suggestions, ...

The Contingency Table: A Powerful Tool of Multivariate Statistics

As in other areas of geophysics or meteorology, the observations and data collected at volcanoes are the result of experiments in which we cannot control the variables we wish to study. Thus, statistical analysis is an extremely important step in the data processing. Variations in the experimental parameters must be controlled through the choice of samples and through the hypotheses chosen for ...

A Network Algorithm for Performing Fisher's Exact Test in r × c Contingency Tables

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An Unconditional Exact Test For Small Samples Matched Binary Pairs

Implementing Multiple Comparisons on Pearson Chi-square Test for an R×C Contingency Table in SAS®

This paper illustrates a permutation method for implementing multiple comparisons on Pearson’s Chi-square test for an R×C contingency table, using the SAS procedure FREQ and a newly developed SAS macro called CHISQ_MC. This method is analogous to the Tukey-type multiple comparison method for one-way analysis of variance.