Hi Joe/Andrew,
Please refer to the following URL on how to run a MEDx script from a UNIX
shell.
http://medx.sensor.com/products/medx/faq/scripting/unixcommand.html
Regards...Raj
*********************************************
Raj Jagannathan
Sensor Systems Medical Products
103A Carpenter Drive
Sterling, VA 20164
(703) 437-7344 x418
(703) 437-0039 fax
[log in to unmask]
http://medx.sensor.com
*********************************************
----- Original Message -----
From: "Joe Devlin" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Thursday, July 11, 2002 9:37 AM
Subject: Re: [FSL] Event-related design
> Hi Andrew,
>
> >If each run is analysed separately, do I combine them as if they are
> >separate subjects doing the experiment or is there a different method in
> >this case?
>
> Well, you could either. The first method -- combining them as if they
were
> separate subjects, is what SPM does. You can do the same in Feat by
> choosing a group stats analysis and entering each session into the whole.
>
> Alternatively you could manually create mean contrast of parameter
estimate
> (COPE) images per subject and then use Medx to compute a group random
> effects analysis form the subjects' mean PE files. I've attached a script
> I've used to do this method, again in ksh. This one isn't commented as
> much and could be made more elegant but it follows the same pattern.
>
> Once you have the mean images per subject (in standard space), you need to
> load them into a group in medx and choose Toolbox -> Functional -> Group
> Statistics. Then set the operation to single group t-test and run it on
> your grouped COPE images. I'm not sure how to script this part from
within
> the rfx shell script so I do it manually. Afterwards, if you save the
> z-image, you can run a second script called thresh_render (attached) to
> make the various images that you normally get from Feat.
>
> This isn't completely elegant but it does compute a type of repeated
> measures RFX analysis which is more correct that simply treating the
> various runs as different subjects.
>
> Perhaps one of the more statistically-minded members of the list will
> comment on that.
>
> Cheers,
> Joe
>
>
>
>
>
> Joe
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