Dear Doug,

Thank you very much!

Sincerely,
Ye


On Tue, Sep 3, 2013 at 5:29 PM, Douglas N Greve
<gr...@nmr.mgh.harvard.edu>wrote:

> Yes, that is correct for DODS. For DOSS, it is y = e + bi*xi + ci*zi
> doug
>
>
> On 09/03/2013 01:03 PM, ye tian wrote:
>
>> Dear Doug,
>>
>> Would you please let me know what the general formula for the model is
>> for discrete variables x1, x2, .... , xN, covarying with continuous
>> variables z1, z2, ..., zM?
>> Is it
>>
>> y = error + bi*xi + cij*xi*zj ?
>>
>> Otherwise, how does freesurfer decide what model to use?
>>
>> Thank you very much!
>>
>> Sincerely,
>> Ye
>>
>>
>> On Mon, Aug 19, 2013 at 11:26 AM, Douglas N Greve <
>> gr...@nmr.mgh.harvard.edu 
>> <mailto:gr...@nmr.mgh.harvard.**edu<gr...@nmr.mgh.harvard.edu>>>
>> wrote:
>>
>>
>>     QDEC creates a sentence that describes each contrast. Is that
>>     sentence not clear? I think the only other docs we have for QDEC
>>     are the tutorial.
>>     doug
>>
>>
>>
>>
>>
>>
>>     On 08/19/2013 12:19 PM, ye tian wrote:
>>
>>         Dear Doug,
>>
>>         If I only have two groups, does the statistical test reduce to
>>         a two-tail t-test?
>>
>>         Sorry, I meant to ask what the "default" contrast is, meaning
>>         what the contrast is when I specify no nuisance factor?
>>
>>         Is there an official document where the QDEC setup is gone
>>         over systematically?
>>
>>         Thank you very much!
>>
>>         Sincerely,
>>         Ye
>>
>>
>>         On Mon, Aug 19, 2013 at 11:04 AM, Douglas N Greve
>>         <gr...@nmr.mgh.harvard.edu 
>> <mailto:gr...@nmr.mgh.harvard.**edu<gr...@nmr.mgh.harvard.edu>
>> >
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>>>>
>> wrote:
>>
>>
>>             -log10(p) which p is the pvalue for the statistical test. The
>>             color is signed by the test.
>>
>>
>>
>>             On 08/19/2013 11:19 AM, ye tian wrote:
>>
>>                 Dear Doug,
>>
>>                 Would you please shine some light on what quantities
>>         are being
>>                 plotted in those statistical maps of QDEC? Some linear
>>                 combination of the columns of the design matrix?
>>
>>                 Also, what is the "default" design matrix?
>>
>>                 Thank you very much!
>>
>>                 Sincerely,
>>                 Ye
>>
>>
>>                 On Tue, Aug 13, 2013 at 11:45 PM, Douglas Greve
>>                 <gr...@nmr.mgh.harvard.edu
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>>
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>>>
>>                 
>> <mailto:gr...@nmr.mgh.harvard.**edu<gr...@nmr.mgh.harvard.edu>
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>>
>>
>>                 
>> <mailto:gr...@nmr.mgh.harvard.**edu<gr...@nmr.mgh.harvard.edu>
>>         <mailto:gr...@nmr.mgh.harvard.**edu <gr...@nmr.mgh.harvard.edu>>>>>
>> wrote:
>>
>>
>>                     1 and 3 are the same model. Calling a variable a
>>         nuisance
>>                 factor
>>                     is just a description. The model is actually
>>                     y  = age*meditation*b1 + meditation*b2 + err =
>>         y_hat + err
>>
>>                     doug
>>
>>
>>                     On 8/13/13 6:12 PM, ye tian wrote:
>>
>>                         Dear Freesurfers,
>>
>>                         I am studying cortical thickness as a function
>>         of age
>>                         (continuous) and meditation practice (categorical,
>>                     level1=Normal,
>>                         level2=TM). I have three separate cases of qdec,
>>                     regression1,
>>                         regression2 and regression3.
>>
>>                         Regression1: Discrete (Fixed Factor) = meditation;
>>                     Continuous
>>                         (Covariate) = age
>>                         Regression2: Discrete (Fixed Factor) = meditation;
>>                         Regression3: Discrete (Fixed Factor) = meditation;
>>                     Nuisance
>>                         Factor = age
>>
>>                         For the question "Does the average thickness
>>         differ
>>                     between
>>                         Normal and TM?", Regression1 and Regression3 have
>>                     identical
>>                         result, which is different from Regression2,
>>         i.e., (1
>>                     = 3 !=2 ).
>>                         May I infer from this result the following
>>         about qdec:
>>
>>                         1) Regression1 and Regression3 both fit cortical
>>                     thickness,y, to
>>                         the model
>>                             y  = b0 + age*b1 + meditation*b2 + err =
>>         y_hat + err
>>                             Regression2 fits:
>>                             y = b0 + b2*meditation + err = y_hat + err
>>
>>                         2)  Some function of y_hat goes into the "average
>>                     thickness",
>>                         hence the difference between 2 and the others.
>>
>>                         However, what role does "Nuisance Factor" play
>>         in this
>>                     case?
>>
>>                         Thank you very much!
>>
>>                         Sincerely,
>>                         Ye
>>
>>
>>
>>
>>
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>>         
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>>             --     Douglas N. Greve, Ph.D.
>>             MGH-NMR Center
>>         gr...@nmr.mgh.harvard.edu 
>> <mailto:gr...@nmr.mgh.harvard.**edu<gr...@nmr.mgh.harvard.edu>
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>>
>>     --     Douglas N. Greve, Ph.D.
>>     MGH-NMR Center
>>     gr...@nmr.mgh.harvard.edu 
>> <mailto:gr...@nmr.mgh.harvard.**edu<gr...@nmr.mgh.harvard.edu>
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>>
>>
> --
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> gr...@nmr.mgh.harvard.edu
> Phone Number: 617-724-2358
> Fax: 617-726-7422
>
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