I use a simple example to illustrate my question. I want to check the fdr for a raw_palue, say 0.61, using the code below:
data a;
input Test$ Raw_P @@;
datalines;
test01 0.61
;
proc multtest inpvalues=a bon fdr ;
run;
0.6100 | 0.6100 | 0.6100 |
But if I use another dataset:
data a;
input Test$ Raw_P @@;
datalines;
test01 0.001 test02 0.001 test03 0.001
test04 0.02 test05 0.22 test06 0.59
test07 0.87 test08 0.61
;
proc multtest inpvalues=a bon fdr ;
run;
the output is
0.0010 | 0.0080 | 0.0027 |
0.0010 | 0.0080 | 0.0027 |
0.0010 | 0.0080 | 0.0027 |
0.0200 | 0.1600 | 0.0400 |
0.2200 | 1.0000 | 0.3520 |
0.5900 | 1.0000 | 0.6971 |
0.8700 | 1.0000 | 0.8700 |
0.6100 | 1.0000 | 0.6971 |
So the fdr for 0.61 become 0.6971?
Can anyone tell me why different dataset, with the same value, give me the different fdr?
Did I do something wrong?
Best,
H
See "p-value Adjustments" in the Details section of the MULTTEST documentation. The adjusted p-value for a particular test depends on the p-values of all of the other tests. If there is only one test, no adjustment can be done.
See "p-value Adjustments" in the Details section of the MULTTEST documentation. The adjusted p-value for a particular test depends on the p-values of all of the other tests. If there is only one test, no adjustment can be done.
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