1984
DOI: 10.1056/nejm198408163110705
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Analyzing Data from Ordered Categories

Abstract: Clinical investigations often involve data in the form of ordered categories--e.g., "worse," "unchanged," "improved," "much improved." Comparison of two groups when the data are of this kind should not be done by the chi-square test, which wastes information and is insensitive in this context. The Wilcoxon-Mann-Whitney test provides a proper analysis. Alternatively, scores may be assigned to the categories in order, and the t-test applied. We demonstrate both approaches here. Sometimes data in ordered categori… Show more

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Cited by 283 publications
(78 citation statements)
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“…Trends in proportions were identified using the Mann-Whitney U test, which is based on ranks and is applicable to very small samples (Moses et al, 1984).…”
Section: Discussionmentioning
confidence: 99%
“…Trends in proportions were identified using the Mann-Whitney U test, which is based on ranks and is applicable to very small samples (Moses et al, 1984).…”
Section: Discussionmentioning
confidence: 99%
“…In practice, some empirical literature has treated ordinal data as cardinal for tractability and model flexibility (see, e.g. Allan 1976;Harwell and Gatti 2001), or because this can provide additional insights into useful relationships (Moses, Emerson, and Hosseini 1984). In the empirical application that follows, the education dimension will be treated in this manner.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…We remark that this approach was described over 20 years ago in the medical setting, 3 though its application to categorical data predates this. Our null hypothesis is that the distributions of mRS scores are identical in the 2 arms of the trial; we might be particularly interested in a 1-sided alternative hypothesis, that mRS scores on the NXY-059 arm tend to be smaller than those on the placebo arm (though 2-sided alternatives might also be entertained, especially by regulatory agencies).…”
Section: Nonparametric Analysis Of Efficacymentioning
confidence: 99%