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All tests should be understood as constituting exploratory data analysis, such that no adjustments for multiple testing have been made.
All tests should be understood as constituting exploratory analysis, such that no adjustments for multiple testing have been made.
Corrections for multiple testing have not been performed.
However, many genes have been replicated in these datasets, but after correcting for multiple testing, have not reached genome-wide significance.
Details on the sliding-window approach and adjustment of the resulting p-values for within-gene multiple testing have been provided in [1].
Beside the primary endpoint, all statistical evaluations should be understood as constituting exploratory data analysis, such that no adjustments for multiple testing have been made.
Similar(47)
However, the problem of multiple testing has to be borne in mind: with more than 200 statistical tests to be performed some significant results will be produced "by chance", they are however artefacts (approx. 10 of such results must be expected at a 95% confidence level).
Of these, one positive genetic association, resisting to corrections for multiple testing, has been found between the protein tyrosine phosphatase receptor type E gene (PTPRE) and allergic asthma in the SLSJ sample.
In undertaking these separate univariable tests, multiple testing has occurred.
The sequential Bonferroni correction for multiple testing has been used.
Nevertheless, no correction for multiple testing has been performed.
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