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• W1966345511 abstract "Summary We show a novel approach for k-FWER control which does not involve any correction, but only testing the hypotheses along a (possibly data-driven) order until a suitable number of p-values are found above the uncorrected α level. p-values can arise from any linear model in a parametric or nonparametric setting. The approach is not only very simple and computationally undemanding, but also the data-driven order enhances power when the sample size is small (and also when k and/or the number of tests is large). We illustrate the method on an original study about gene discovery in multiple sclerosis, in which were involved a small number of couples of twins, discordant by disease. The methods are implemented in an R package (someKfwer), freely available on CRAN." @default.
• W1966345511 created "2016-06-24" @default.
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• W1966345511 date "2010-06-01" @default.
• W1966345511 modified "2023-09-23" @default.
• W1966345511 title "k-FWER Control without p -value Adjustment, with Application to Detection of Genetic Determinants of Multiple Sclerosis in Italian Twins" @default.
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• W1966345511 doi "https://doi.org/10.1111/j.1541-0420.2010.01443.x" @default.
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