By Adjusted P Value?
The Adjusted P Value Is the Smallest Familywise Significance Level at Which a Particular Comparison Will Be Declared Statistically Significant as Part of the...
The adjusted P value is the smallest familywise significance level at which a particular comparison will be declared statistically significant as part of the multiple comparison testing. ... A separate adjusted P value is computed for each comparison in a family of comparisons.
How do you calculate the adjusted p-value?
Following the Vladimir Cermak suggestion, manually perform the calculation using, adjusted p-value = p-value*(total number of hypotheses tested)/(rank of the p-value), or use R as suggested by Oliver Gutjahr p.
What is adjusted p-value vs p-value?
Another way to look at the difference is that a p-value of 0.05 implies that 5% of all tests will result in false positives. An FDR adjusted p-value (or q-value) of 0.05 implies that 5% of significant tests will result in false positives. The latter will result in fewer false positives.
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