Adjust for Multiple Comparisons? It's Not That Simple
When it comes to exploratory studies or post-hoc analysis of existing data though
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
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
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No Adjustments Are Needed for Multiple Comparisons
The theoretical basis for advocating a routine adjustment for multiple comparisons is the "universal null hypothesis" that.
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
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
Methods to adjust for multiple comparisons in the analysis and
Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes.
Methods to adjust for multiple comparisons in the analysis and
Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes.
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Empirical-Bayes Adjustments for Multiple Comparisons Are
Rothman (Epidemiology 1990;1:43-46) recommends against adjustments for multiple comparisons. Implicit in his recommendation.
Multiple Comparisons
30 juil. 2009 Compare p-value to significance level α: if p<α then reject H ... Adjusted p-values for pairwise comparisons using Tukey test.
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