1988
DOI: 10.1016/s0025-6196(12)62363-5
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Statistical Considerations for Performing Multiple Tests in a Single Experiment. 2. Comparisons Among Several Therapies

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Cited by 34 publications
(10 citation statements)
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“…The overall null hypothesis that no differences existed among any of the treatment groups was analyzed with the Kruskal-Wallis test to estimate the per-experiment type I error rate. Individual pairwise comparisons were performed only if the preliminary Kruskal-Wallis test indicated significant differences among treatment groups at the ␣ ϭ 0.05 level (36). The reported P values for individual treatment group comparisons therefore reflect the comparisonwise type 1 statistical error rate conditional on an experimentwise error rate of P Յ 0.05 (36).…”
Section: Methodsmentioning
confidence: 99%
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“…The overall null hypothesis that no differences existed among any of the treatment groups was analyzed with the Kruskal-Wallis test to estimate the per-experiment type I error rate. Individual pairwise comparisons were performed only if the preliminary Kruskal-Wallis test indicated significant differences among treatment groups at the ␣ ϭ 0.05 level (36). The reported P values for individual treatment group comparisons therefore reflect the comparisonwise type 1 statistical error rate conditional on an experimentwise error rate of P Յ 0.05 (36).…”
Section: Methodsmentioning
confidence: 99%
“…Individual pairwise comparisons were performed only if the preliminary Kruskal-Wallis test indicated significant differences among treatment groups at the ␣ ϭ 0.05 level (36). The reported P values for individual treatment group comparisons therefore reflect the comparisonwise type 1 statistical error rate conditional on an experimentwise error rate of P Յ 0.05 (36). Differences between pairwise comparisons were considered significant at the ␣ ϭ 0.05 level.…”
Section: Methodsmentioning
confidence: 99%
“…Comparisons of two means used the unpaired Student's t test. In studies involving multiple comparisons, the threshold value for statistical significance was adjusted using the Bonferroni correction (28). Differences among groups of rats with respect to diabetes-free survival were analyzed by the KaplanMeier method using the log-rank statistic (29).…”
Section: Statisticsmentioning
confidence: 99%
“…For quantitative nonparametric analysis, samples with no growth on the lowest dilution ("sterile" vegetations) were assigned half of the value of the lowest detectable quantity of microorganisms. The overall null hypothesis that no differences in mean log1o CFU of staphylo- Wallis test (10). Pairwise comparisons of treatment groups were performed by the Wilcoxon rank sum test (10).…”
mentioning
confidence: 99%
“…The overall null hypothesis that no differences in mean log1o CFU of staphylo- Wallis test (10). Pairwise comparisons of treatment groups were performed by the Wilcoxon rank sum test (10). The MICs (in micrograms per milliliter) for the strain used in vivo were 0.5 for nafcillin, 0.5 for cefazolin, 1 for cefpirome, 0.015 for rifampin, and 1 for gentamicin.…”
mentioning
confidence: 99%