A Nonparametric Analogy of Analysis of Covariance
Burnett, Thomas D.
Barr, Donald R.
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A nonparametric test of the hypothesis of no treatment effect is suggested for a situation where measures of the severity of the condition treated can be obtained and ranked both pre- and post-treatment. The test allows use to be made of the pre-treatment rank as a "concomitant variable," and is based on the nature and degree of permutation of the post-treatment ranks relative to the pre-treatment ranks. Evidence is given which shows that the distribution of the suggested test statistic rapidly approaches the F distribution as the number of subjects is increased. For small samples, a randomization test may be performed.
The article of record as published may be found at http://dx.doi.org/10.1177/001316447703700208
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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