1964
DOI: 10.1080/00401706.1964.10490181
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Multiple Comparisons Using Rank Sums

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Cited by 3,145 publications
(978 citation statements)
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“…We used the Friedman Test to examine changes in behavior and in T levels across the treatment period. Post-hoc analysis was performed with a Dunn's multiple comparison test (Dunn, 1964). In particular, we compared behavior between the first and last week of flutamide treatment, and T levels between the first week of T treatment and the end of the flutamide treatment.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We used the Friedman Test to examine changes in behavior and in T levels across the treatment period. Post-hoc analysis was performed with a Dunn's multiple comparison test (Dunn, 1964). In particular, we compared behavior between the first and last week of flutamide treatment, and T levels between the first week of T treatment and the end of the flutamide treatment.…”
Section: Discussionmentioning
confidence: 99%
“…In particular, we compared behavior between the first and last week of flutamide treatment, and T levels between the first week of T treatment and the end of the flutamide treatment. We limited the paired comparison to two time points because the power of the Dunn's test depends on the number of paired comparisons (Dunn, 1964;Siegel and Castellan, 1988).…”
Section: Discussionmentioning
confidence: 99%
“…This test was selected in preference to its parametric analogues on account of the relatively small number of animals per group (10) and possible non-normalities in the distribution of metastases. Where significant differences were detected among the 4 groups, pairwise tests were computed according to the method of Dunn (1964).…”
Section: Effect Of Tumour Cell Growthmentioning
confidence: 99%
“…21,22 Because some had a skewed distribution, we used the Kruskal-Wallis sum rank test for between group comparisons, utilizing Dunn's test for pair-wise comparisons if overall significance occurred. 23 Because there are not acceptable methods for covariate adjustments using the Kruskal-Wallace method, we compared patient characteristics and workload for teams with varying levels of sensemaking using a general linear modeling approach to ensure that there were not systematic differences that could impact our results. All models were run using SAS software.…”
Section: Discussionmentioning
confidence: 99%