1993
DOI: 10.2307/2532216
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On Adjusting P-Values for Multiplicity

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Cited by 137 publications
(103 citation statements)
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“…Subsequently, the signal envelope was extracted by calculating the module of the Hilbert transform. Statistical analysis was performed using the permutation method (Westfall & Young, 1993) with 10,000 iterations. Nonpaired and paired t tests were used for the saline/ketamine factor, and the after-event/ baseline factor, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…Subsequently, the signal envelope was extracted by calculating the module of the Hilbert transform. Statistical analysis was performed using the permutation method (Westfall & Young, 1993) with 10,000 iterations. Nonpaired and paired t tests were used for the saline/ketamine factor, and the after-event/ baseline factor, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…The global hypothesis of independence between the four stand categories and the response variable (number of one or all microhabitats) was assessed using multiple testing of re-sampled data (Westfall and Young 1993;Hothorn et al 2006a). The P value obtained by this procedure was adjusted for multiple comparisons utilizing a step-down max-T approach.…”
Section: Calculations and Statistical Proceduresmentioning
confidence: 99%
“…This curve provides a statistical value to compare the increase of species with increasing number of plots. Because this curves does not give a significance value, the global hypothesis of independence between the three intensity levels and fungal species richness per plot was assessed by means of resampling-based multiple testing (Westphall and Young 1993). The P-values obtained by this procedure are adjusted for multiple comparisons utilizing a step-down max-T approach (Algorithm 2.8 in Westphall and Young 1993).…”
Section: Data Analysesmentioning
confidence: 99%