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Yes! Sorry for that.
And I'm resending my fsgd file!
Laura.
_______________________________________________________________________________________________________________Hello FreeSurfer Developers,
I want to perform an analysis of the difference between two groups in cortical thickness, having cortisol levels as covariate.
This is my model: cortical thickness ~ pathology (CU/CI) + CSF cortisol + pathology*CSF cortisol
From the GLM DODS analysis I want to know if:Is my FSGD file (attached) correct? What would the contrasts look like?
- the regression coefficient is significant only for the difference between groups,
- or only for cortisol,
- or for both,
- or if the coefficient of the intercept between group and cortisol is significant.
Thanks in advance!
Laura Willers de SouzaMaster Student in Biochemistry
Zimmer Lab - Federal University of Rio Grande do Sul
- Porto Alegre/RS - Brazil
______________________________________________________________________________________________________________________
Answer by Douglas N. Greve:
this could possibly mean two things: the difference in offset [1 -1 0 0] or the difference in slopes ([0 0 1 -1]Hello FreeSurfer Developers,I want to perform an analysis of the difference between two groups in cortical thickness, having cortisol levels as covariate. This is my model: cortical thickness ~ pathology (CU/CI) + CSF cortisol + pathology*CSF cortisolFrom the GLM DODS analysis I want to know if: * the regression coefficient is significant only for the difference between groups,* or only for cortisol,[0 0 0.5 0.5] will test whether the cortisol slope is different than 0* or for both,both what?* or if the coefficient of the intercept between group and cortisol is significant.this does not make sense to meIs my FSGD file (attached) correct? What would the contrasts look like?_________________________________________________________________________________________________Answer by Douglas N. Greve:The model is actually, two independent linear models: thicknessCU = CUOffset + CUcortisol*CUslope thicknessCI = CIOffset + CIcortisol*CIslopeThere will be four regression parameters: [CUOffset CUslope CIOffset CIslope]
De: Douglas N. Greve <dgreve@mgh.harvard.edu>
Enviado: terça-feira, 14 de dezembro de 2021 18:54
Para: Laura Willers de Souza <laura.w.desouza@hotmail.com>
Cc: freesurfer@nmr.mgh.harvard.edu <freesurfer@nmr.mgh.harvard.edu>
Assunto: Re: [Freesurfer] Questions about contrastsCan you include the previous emails in your current email?
On 12/14/2021 3:46 PM, Laura Willers de Souza wrote:
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Dear Douglas,
Thank you so much for your answer!
Sorry, but I don't think I explained myself correctly in the previous email.
I want to analyze the difference in cortical thickness between two groups (CU and CI), adjusting for a covariate (cortisol CSF) and the interaction between them.
So my model would be: cortical thickness ~ diagnosis + CSF cortisol + diagnosis*CSF cortisol
Using the GLM DODS, the contrasts, according to the wiki example (MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be https://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G1V), would be:
- To verify if only the diagnosis regression coefficient is significant (diagnosis changes cortical thickness regardless of cortisol):
1 -1 0 0
To verify if the regression coefficient of the interaction between diagnosis and cortisol is significant (the two change cortical thickness dependently):
0 0 1 -1
To verify if only the cortisol regression coefficient is significant (cortisol changes cortical thickness regardless of diagnosis):
0 0 0.5 0.5
Are these contrasts corret to represent the model we designed?
Thank you so much again!
Best regards,
Laura Willers de Souza
Master Student in Biochemistry
Zimmer Lab - Federal University of Rio Grande do Sul
- Porto Alegre/RS - Brazil
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