1988
DOI: 10.1093/biomet/75.2.383
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A stagewise rejective multiple test procedure based on a modified Bonferroni test

Abstract: Simes (1986) has proposed a modified Bonferroni procedure for the test of an overall hypothesis which is the combination of n individual hypotheses. In contrast to the classical Bonferroni procedure, it is not obvious how statements about individual hypotheses are to be made for this procedure. In the present paper a multiple test procedure allowing statements on individual hypotheses is proposed. It is based on the principle of closed test procedures (Marcus, Peritz & Gabriel, 1976) and controls the multiple … Show more

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Cited by 1,169 publications
(644 citation statements)
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“…Comparisons between non-FL and FL patients were performed through unpaired t-test. A Bonferroni-type adjustment was carried out using Hommels' procedure [18]. Linear regression analysis was performed using the least squares method.…”
Section: Resultsmentioning
confidence: 99%
“…Comparisons between non-FL and FL patients were performed through unpaired t-test. A Bonferroni-type adjustment was carried out using Hommels' procedure [18]. Linear regression analysis was performed using the least squares method.…”
Section: Resultsmentioning
confidence: 99%
“…To qualify significant results and minimize false-positive associations, correction for multiple testing was conducted using the Hommel method. 29 However, given the small sample size and hypothesisgenerating nature of this analysis, both adjusted and unadjusted P values are presented and discussed. Statistical significance was defined as a <0.05.…”
Section: Methodsmentioning
confidence: 99%
“…In addition to the coefficients, each column also shows the proportion of variance explained by the explanatory variables in each of the regression models, in the form of R 2 . 10 8 We also calculated p-values correcting for the multiple comparisons performed in Table 3 using six established methods: Bonferroni (1935), Holm (1979), Hochberg (1988), Hommel (1988, Benjamini andHochberg (1995), andBenjamini andYekutieli (2001). The last of these methods (Benjamini and Yekutieli 2001) takes explicitly into account dependence between the variables (which makes it similar to other possible approaches, such as the ones discussed in Wolf 2005, 2010;Romano Shaikh, and Wolf 2008;or List, Shaikh, and Xu 2016).…”
Section: Do the Games Explain The Past And The Field Behaviors?mentioning
confidence: 99%