When to adjust alpha during multiple testing: A consideration of
testing in order to take into account multiple testing and multiple comparisons. This alpha adjustment has become particularly relevant in the context of
Adjust for Multiple Comparisons? It's Not That Simple
When it comes to exploratory studies or post-hoc analysis of existing data though
No Adjustments Are Needed for Multiple Comparisons
The theoretical basis for advocating a routine adjustment for multiple comparisons is the "universal null hypothesis" that.
Why We (Usually) Don't Have to Worry About Multiple Comparisons
The middle panel displays the same point estimates as in the left panel but with confidence intervals adjusted to account for a Bonferroni correction. The right
multiple f
Adjusting for Multiple Comparisons
When to Adjust for Multiple Comparisons. We make adjustments to control the FWER when: ○ We have more than one hypothesis or outcome (family of hypotheses)
multiple comparison adjustment
A general introduction to adjustment for multiple comparisons
Therefore there are two ways for adjusting the statistical inference of multiple comparisons. First
PB R
Empirical-Bayes Adjustments for Multiple Comparisons Are
Rothman (Epidemiology 1990;1:43-46) recommends against adjustments for multiple comparisons. Implicit in his recommendation.
Adjusting for Multiple Comparisons in Decision Tree Pruning
Pruning is a common technique to avoid over-fitting in decision trees. Most pruning techniques do not ac- count for one important factor - multiple compar-.
KDD
Nonparametric Pairwise Multiple Comparisons in Independent
would make multiple pairwise comparisons using t tests for mean difference in unpaired The test is frequently used with multiple-comparison adjustments.
A Closer Look at Correction for False Discovery Bias When Making
(1968 1971) multiple-comparison adjustment to the standard statistical t-test to correct for the false- discovery bias inherent in multiple-comparison
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