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Exact(29)
This approach allowed for increasing the test sensitivity based on the assumption of temporal continuity of the data, thereby avoiding a massive multiple comparison problem and resulting in continuous intervals.
(This threshold was set to t = 1.8, corresponding to p < 0.05 with 13 degrees of freedom; note that the selection of this threshold still leads to a conservative treatment of the multiple comparison problem since a permutation test is subsequently performed). Contiguous threshold-surviving edges are defined as a cluster.
Family‐based designs require specialized analytic methods but they have distinct advantages: They are robust to confounding and variance inflation, which can arise in standard designs in the presence of population substructure; they test for both linkage and association; and they offer a natural solution to the multiple comparison problem.
23There are formal ways to address the multiple comparison problem (see Schochet 2008,2008).
In this paper, we describe some of the complexity associated with the study of chronic illness and demonstrate the multiple comparison problem.
The reason is that with positive interference, nearby markers are less dependent, and the multiple comparison problem is heightened.
Similar(31)
Rapid progress in technology, particularly in high-throughput biology, allows the analysis of thousands of genes or proteins simultaneously, where the multiple comparison problems occurs.
We have found multivariate models helpful in attenuating multiple comparison problems, but it still seems that independent confirmatory studies are required to establish confidence in a questionable intervention.
Our decoding approaches objectively reduced the dimensionality of the signal, alleviating multiple comparison problems.
By applying t-tests at each time-frequency point, we faced massive multiple comparison problems.
It should be noted that this test can cause multiple comparison problems, as false-positives will occur in accordance to the threshold value.
More suggestions(15)
multiple exploitation problem
multiple extension problem
multiple comparison analysis
multiple response problem
multiple comparison adjustment
multiple comparison p
multiple sourcing problem
multiple comparison correction
multiple choice problem
multiple exposure problem
multiple instance problem
multiple audience problem
multiple knapsack problem
multiple scattering problem
multiple classification problem
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