There are several statistics for testing hypotheses concerning the independence of the distributions represented by two rows in contingency tables. The most famous are Rao′s score, the Wald and the likelihood ratio tests. A comparison of the power of these tests indicates the Wald test as the most powerful.
@article{bwmeta1.element.doi-10_1515_bile-2015-0009,
author = {Anita Dobek and Krzysztof Moli\'nski and Ewa Skotarczak},
title = {Power comparison of Rao's score test, the Wald test and the likelihood ratio test in (2xc) contingency tables},
journal = {Biometrical Letters},
volume = {52},
year = {2015},
pages = {95-104},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1515_bile-2015-0009}
}
Anita Dobek; Krzysztof Moliński; Ewa Skotarczak. Power comparison of Rao′s score test, the Wald test and the likelihood ratio test in (2xc) contingency tables. Biometrical Letters, Tome 52 (2015) pp. 95-104. http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1515_bile-2015-0009/
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