[Mne_analysis] Comparison of brain responses under three different conditions?

[Denis-Alexander Engemann]

2014-12-21 14:00 GMT+01:00 Maria Hakonen <maria.hakonen at gmail.com>:

> Hi,
>
> Is it that when I have hemisphere*session ANOVAs, I can use f_twoway_rm,
> and this gives the corrected values?
>

with correction=True


> Should one-way ANOVA be used in the cases where I am not interested in
> hemisperic asymmetry? Is there any function for one way ANOVA that gives
> sphericity corrected values?
>
>
A one-way ANOVA is currently not implemented. But you can just look at the
relevant main effect. Should be equivalent.


> -Maria
>
> 2014-12-21 14:21 GMT+02:00 Denis A. Engemann <denis.engemann at gmail.com>:
>
>> Hi Maria,
>>
>> On 21 Dec 2014, at 12:51, Maria Hakonen <maria.hakonen at gmail.com> wrote:
>>
>> Hi Denis,
>>
>> Should I use two-way ANOVA if I also want to compare hemispheres, i.e.
>> have a 2*3 (hemisphere*session) ANOVA table?
>>
>>
>> Sounds like the repeated measures anova is what you want to do here
>> indeed. I just realized the sphericity correction is actually implemented
>> by our code. So that should fly. Checkout the correction parameter.
>>
>>
>> I would need to do group level analysis.
>>
>> -Maria
>>
>>
>> 2014-12-21 12:38 GMT+02:00 Denis-Alexander Engemann <
>> denis.engemann at gmail.com>:
>>
>>> Hi Maria,
>>>
>>> 2014-12-21 10:18 GMT+01:00 Maria Hakonen <maria.hakonen at gmail.com>:
>>>
>>>> Hi all,
>>>>
>>>> I would need to find the time intervals where there are statistically
>>>> significant differences between MEG responses measured under three
>>>> different conditions.  I study the responses by comparing the mean values
>>>> in steps of 200 ms between the range of 400-2400 ms. I would like to do
>>>> this for responses from several brain areas. What could be the best way to
>>>> compare the mean values of the tree responses?
>>>>
>>>>
>>> Single subject or group level?
>>> For single subject a standard F-test would be appropriate. For groups a
>>> oneway repeated measures ANOVA, if I understand your design correctly
>>> (simply 3 different conditions).
>>>
>>>
>>>> I have planned to try f_twoway_rm in a loop. However, when rmANOVA is
>>>> used, sphericity test is needed, and if the assumption of sphericity is
>>>> violated, p values need to be corrected. Is there any function for this in
>>>> Python (e.g. Mauchly's sphericity test and Greenhouse-Geisser test)?
>>>>
>>>>
>>> Note that this only needed if you have more than 2 factors with more
>>> than two levels. Currently this is not implemented in our stats code. The
>>> other questions is why you need a 2-way test for 3 conditions. I probably
>>> did not fully understand your design.
>>>
>>> Denis
>>>
>>>
>>>> Many thanks already in advance!
>>>>
>>>> Regards,
>>>> Maria
>>>>
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