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Sentence examples for multiple testing involved from inspiring English sources

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Exact(6)

Because of the multiple testing involved, the classical P-value threshold of, say, 0.05 may not be considered strict enough, as it will tend to lead to too many "false positives".

Nevertheless, neither study could identify SNPs that achieved genome-wide statistical significance (P < 5 × 10-7) - a necessary cut-off because of the multiple testing involved.

More than 20 associations across the seven disorders were significant despite correction for the massive multiple testing involved in GWA (p = 5 × 10−7).

Stricter levels of statistical significance (p < 0.01) will be used in subgroup analyses reflecting their exploratory nature and the multiple testing involved.

However, because of the exceedingly large multiple testing involved in these studies, very few exceed the genome-wide significance threshold and those that do not exceed this stringent statistical requirement are generally neglected.

Set mmHG score π = mi n 1 ≤ n 1 ≤ N mi n 1 ≤ n 2 ≤ N HGT N, n 1, n 2, b π n 1, n 2 where HGT is the tail distribution of an hypergeometric random variable: HGT N, n 1, n 2, b = ∑ i = b min n 1, n 2 n 1 i N - n 1 n 2 - i N n 2 The mmHG score cannot be considered as a significance measure, due to the multiple testing involved in finding n1 and n2.

Similar(54)

Multiple testing involves the risk of committing type I errors [57].

Considering the multiple tests involved in this study, a P-value < 0.01 was set as significant level.

Obviously, we do not need to correct the p values in this study, because the multiple tests involved are not independent each other and our analyses are explanatory.

However, due to the sheer number of multiple tests involved, detecting a single gene with dN/ dS > 1 could occur due to chance effects.

Two of the limitations of these studies are especially relevant here: tolerant significance thresholds that do not account for the multiple tests involved and small sample sizes that lead to imprecision in the estimated effects.

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