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Bonferroni correction [ 33] was applied to correct the multiple test problems.
A Bonferroni correction [ 28] was applied to correct the multiple test problems.
This paper shows that the graphical approach introduced by Bretz et al. (2009) can be used to create and visualize tailored strategies for common multiple test problems.
However, there is still no standard method to be free from multiple test problems and be accepted for multivariate phenotypes [ 11].
Hung and Wang (2009, 2010) considered some controversial multiple test problems, with emphasis on regulatory applications, and pointed out illogical problems that may arise with recently developed multiple test procedures.
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The multiple test problem was taken into account by correcting the t-scores using Gaussian random field theory [31], [32].
Since there was a multiple test problem, Bonferroni correction [ 33] was applied for the test.
c) Testing all pairs of codons creates an obvious multiple test problem.
The manuscript would probably benefit from the discussion on how the rate of false-positive predictions is controlled given this multiple test problem.
Now, the multiple test problem can be viewed as predicting o v. Conditional on o v, assume that w v follows the normal distribution: Here, we consider only normal distribution for w v.
Note that FAM-MDR* may well be the most powerful approach but, like PGMDR, it does not appropriately handle multiple testing problems.
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many test problems
various test problems
several test problems
multiple criterion problems
multiple test statistics
multiple test methods
multiple test flights
multiple test procedures
multiple testing problems
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multiple test cases
multiple test results
multiple test corrections
multiple test materials
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multiple health problems
multiple collinearity problems
multiple test conditions
multiple test drives
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