I'm sorry.
I'm performing the cortical thickness analysis on three groups (2 pathological groups and 1 control group).
I'm interested mainly to the differences between the two groups of disease.
These are my questions:
1- Is qdec a good option for my study design or I should use other glm option that contains all 3 groups in the same matrix design?
2-As you suggest I'm using always mean cortical thickness as nuisance factor in qdec.
If I'd like added 2 or more covariates, is correct if I add each covariate separately in my matrix.dat or I should add all covariates together in my matrix.dat?
Thanks,
Stefano
Thank you very much, Michael!
I have just an other important question, please.
I'm performing cortical thickness analysis on three groups. One of this is a control group and I'm using it as support because I'm interested only to difference between the two groups of disease.
These are my questions:
1- Is correct if I'm applying qdec, testing before a) disease 1 vs disease 2; b) controls vs disease 1 and c) controls vs disease 2.
2- Addictionally to cortical thickness that I'm reporting always as nuisance factor in qdec, I'd test some covariates.
Taking in account my study design, could I test each covariates separately on my model using qdec?
Thanks,
Stefano
----Messaggio originale----
Da: mharms@conte.wustl.edu
Data: 4-apr-2013 15.45
A: <stdp82@virgilio.it>, <freesurfer@nmr.mgh.harvard.edu>
Ogg: Re: [Freesurfer] cortical thickness normalization
If you're studying thickness, I'm a fan of using mean cortical thickness as the covariate (since thickness is what you're studying). I've posted on this in the past.
cheers,
-MH
-----------------------------------------------------------
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave. Tel: 314-747-6173
Hi list,
I'm reading a lot of post on this list about cortical thickness normalization.
I' m noting very different results on my data when I use mean thickness or ICV as nuisance factor than no factor.
I'm confuse on this topic, could you advise the best way, please?
Thanks,
Stefano
_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.
_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.