Have you tried normalizing BDI and age? By normalizing, I mean
subtracting the mean and dividing by the stddev


On 01/20/2017 05:46 PM, Jennifer Szeto wrote:
>
> Sorry, hope this is the right one!
>
>
> Thanks,
>
> Jen
>
>
>
> ------------------------------------------------------------------------
> *From:* freesurfer-bounces@nmr.mgh.harvard.edu
> <freesurfer-bounces@nmr.mgh.harvard.edu> on behalf of Douglas Greve
> <greve@nmr.mgh.harvard.edu>
> *Sent:* 20 January 2017 22:26
> *To:* freesurfer@nmr.mgh.harvard.edu
> *Subject:* Re: [Freesurfer] QDEC - Controlling for gender
>
> sorry, I wanted the y.fsgd file from the qdec output directory
>
>
> On 1/20/17 4:46 PM, Jennifer Szeto wrote:
>>
>> Thank you very much Doug,
>>
>>
>> Please find attached the files I have been using to run the QDEC
>> analyses.
>>
>>
>> Jen
>>
>>
>>
>> ------------------------------------------------------------------------
>> *From:* freesurfer-bounces@nmr.mgh.harvard.edu
>> <freesurfer-bounces@nmr.mgh.harvard.edu> on behalf of Douglas Greve
>> <greve@nmr.mgh.harvard.edu>
>> *Sent:* 20 January 2017 15:27
>> *To:* freesurfer@nmr.mgh.harvard.edu
>> *Subject:* Re: [Freesurfer] QDEC - Controlling for gender
>>
>> can you send the fsgd file?
>>
>>
>> On 1/20/17 6:54 AM, Jennifer Szeto wrote:
>>>
>>> Thanks Doug,
>>>
>>>
>>> That seem to work for some of my variables (e.g. depression) when I
>>> put gender and diagnosis as fixed factors, depression as covariate,
>>> and age as nuisance factor but not for others (e.g. anxiety). I keep
>>> getting error messages when trying to run some of my variables as
>>> covariates (please see attached). Is there anything I can do to fix
>>> this?
>>>
>>>
>>> Thanks,
>>> Jen
>>>
>>> ------------------------------------------------------------------------
>>> *From:* freesurfer-bounces@nmr.mgh.harvard.edu
>>> <freesurfer-bounces@nmr.mgh.harvard.edu> on behalf of Douglas N
>>> Greve <greve@nmr.mgh.harvard.edu>
>>> *Sent:* 19 January 2017 21:48
>>> *To:* freesurfer@nmr.mgh.harvard.edu
>>> *Subject:* Re: [Freesurfer] QDEC - Controlling for gender
>>> Just include it as a categorical factor. When you look at your contrast
>>> of interest, it will be with respect to regressing out gender
>>>
>>>
>>> On 01/15/2017 08:55 PM, Jennifer Szeto wrote:
>>> >
>>> > Hi Freesurfer experts,
>>> >
>>> >
>>> > I am trying to compare cortical thickness between groups while
>>> > controlling for age and gender using QDEC. However, _gender_ is not
>>> > showing up as a covariate variable or a nuisance factor (only showing
>>> > up as a fixed factor), I am wondering how I could control for gender
>>> > in this case?
>>> >
>>> >
>>> > Thank you very much,
>>> >
>>> > Jen
>>> >
>>> >
>>> >
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>>> --
>>> Douglas N. Greve, Ph.D.
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>>
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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

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