Parameters | Workflows | Multiple Testing Correction

Multiple Testing Correction
This drop-down menu enables you to apply multiple testing corrections for testing multiple hypotheses.
Available options are described in the table below
Note : These adjustments can be extremely conservative and should be viewed with caution.
Requests adjusted p -values by using the linear step-up method of Benjamini and Hochberg (1995) 2 .
These p -values do not control the familywise error rate, but they do control the false discovery rate in some cases
Note : These adjustments are slightly less conservative than the Bonferroni adjustments, but they still should be viewed with caution.

1
The Bonferroni and Šidák methods are modifications of the FDR method.

2
Benjamini, Y. and Hochberg, Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society, B 57: 289–300.

To Specify a Multiple Testing Correction:
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For Additional Information
Refer to p-Value Adjustments for more details about each of these methods.