It’s a multiple testing correction method. Benjamini and Hochberg provide in a
simple stepwise procedure (BH) that controls the FDR when the test statistics are
statistically independent.
If the p value is set to 0.05, there is a 5% error margin for each single gene to pass
the test.
If 100 genes are tested, 5 genes could be found to be significant by chance, even
though they are not.
If testing a group of 10,000 genes, 500 might be found to be significant by
chance.
Therefore, it is important to correct the p-value of each gene when performing a
statistical test on a group or genes.
Multiple testing correction adjusts the individual p-value for each gene to keep the
overall error rate to less than or equal to the user-specified p-cutoff value.
0.05*i/m [i=rank, m= total no of variables]
simple stepwise procedure (BH) that controls the FDR when the test statistics are
statistically independent.
If the p value is set to 0.05, there is a 5% error margin for each single gene to pass
the test.
If 100 genes are tested, 5 genes could be found to be significant by chance, even
though they are not.
If testing a group of 10,000 genes, 500 might be found to be significant by
chance.
Therefore, it is important to correct the p-value of each gene when performing a
statistical test on a group or genes.
Multiple testing correction adjusts the individual p-value for each gene to keep the
overall error rate to less than or equal to the user-specified p-cutoff value.
0.05*i/m [i=rank, m= total no of variables]
PSM / COMMUNITY MEDICINE by Dr Abhishek Jaiswal is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at learnpsm@blogspot.com.
Permissions beyond the scope of this license may be available at jaiswal.fph@gmail.com.
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