About multiple correction T-test

Hi everyone, I'm newbie in this field.

I was confused on my data in this few days.

I would like to compares the gene expression between "control and treatment"

Then, I have done the welch's t tests without followed by Bonferroni test because I think there are only two groups for comparison and alpha value is same even go through the Bonferroni test.

So, i would like to ask some suggestions from experts, is it correct about my thinking?

Thank you!:)


Less is more. Stay pure. Stay poor.
If you are not doing multiple comparisons, then a correction is likely not needed. Though, of note you should set your alpha to your a priori level of type I error acceptance. Meaning, you don't have to commit to 0.05, it should be based on the context and risks you would like to circumnavigate.


Active Member
sounds like maybe micro array? probably should mention maybe multiple comparison is from many genes then, traditionally false detection rate / benjamin hochberg adjustment then.