Hello Andreas
thanks for your kindly response
i've tried the threshold at p<0.1 as u said,and... it did work!!
we got a better result as we expected.
but we are just wondering why? how could we use p<0.1 rather than p<0.05?
would u please explain the reason for us?
thank u so much,
Chou Kun Hsien
>Hi,
>have you looked at p<0.1 instead of 0.05 for the (two tailed) F-test, does
>that match better with your t-tests?
>Cheers,
>Andreas
>Am 07.10.11 06:39 schrieb "Chou Kun Hsien" unter <[log in to unmask]>:
>>Sorry that i didn't clarify my question.
>>the following is the original question asked by Dr. John Colby
>>
>>>What I am confused about is this: When age is included as a covariate (as
>>>opposed to when it is not), the individual FA_tfce_corrp_tstat maps are
>>>more
>>>robust, but the overall F-test map (FA_tfce_corrp_fstat) drops almost to
>>>zero. This opposite behavior surprised me and makes me think that I
>>>might be
>>>doing something wrong in my model setup, or perhaps just not fully
>>>understanding how F-tests work in FSL. Does this seem like normal
>>>behavior,
>>>or does it look like I'm doing something wrong?
>>
>>we also met the same question like above.
>>the f-test result seems a lil bit different with the t-test result from
>>each t-contrast.
>>the f-values were small, and we can barely detect any significant
>>difference from f-test in TFCE (while p<0.05).
>>i think it is not a normal result.
>>cuz the f-test findings should not be so different from t-test, since we
>>got many significant findings from t-test analysis.
>>there must be something wrong with my F-test setting, or i must
>>misunderstanding the meaning of F-test in FSL...
>>Any help would be so appreciated!!!
>>
>>thanks
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