Processes | 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.

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

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:
For Additional Information
Refer to p-Value Adjustments for more details about each of these methods.