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We used no multiple correction methods at this point.
The application of multiple correction methods represents a critical source of variance in previous studies.
The conventional multiple correction methods, such as Bonferroni, are considered by some to be too stringent for large-scale studies [ 69, 70].
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While in conjunction with other multiple correction method, it is completely feasible to apply this adaptive method in a high-dimensional data, which we have shown through application to a published GWAS.
(2.2) We will apply the multiple-correction method (see [14 16]) and solve it as follows.
In this section, we provide some other approximation for the Ioachimescu constants by a multiple-correction method.
It is worth to point out that Lemma 1 provides some continued fraction inequalities by the multiple-correction method.
By the multiple-correction method and a large number of measurement data, we propose the following conjectures.
Let us briefly review the so-called multiple-correction method presented in our previous papers [16, 17].
It is worth to point out that the multiple-correction method provides a general way to find some continued fraction approximation of (sigma_{t}) for (t>3).
The main tool is the multiple-correction method formulated in (Cao et al. in J. Number Theory 149 327-350, 2015; Cao in J. Math. Anal. Appl. 424:142015446, 2015).
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