External Email - Use Caution
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 (https://secure-web.cisco.com/1PUyQNFnXt6UhBGwXfB_vPfCTd6uW7Jf3dH3GiO0aIPFHha...), 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
Can you include the previous emails in your current email?
On 12/14/2021 3:46 PM, Laura Willers de Souza wrote:
External Email - Use Caution
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 (https://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G1V https://secure-web.cisco.com/1qbucUNWhNS-2uW6Lox1w2bMK8EUHU0lm2XC7ywMcgAz1opgFdJ9TpOloRtF1uTmyVc70aldT5QkaELBu9kC0X6YiGpVUzZ3hV6ImEDrYAPF9VgAmDOudc6SysPVlhaUvzzGFirVYNLChsA_roK3faZNzYnWbdGPEJSgasor3qtQpKeAN7XvnQ4X24hWQfi35Rh8kF9yIsndHzOZGNxOdCH7U2CUMc9KxEL3N9u2-8weS-Fz01NHj2B_xMyBA8BlbS0n_wekioRXCPViGU3a_0zVQxE5Wu9sLPwFsQ3peECtbgAqHVmzWbyks9AhB3fWY/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FFsgdf2G1V), 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
External Email - Use Caution
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:
* 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.
Is my FSGD file (attached) correct? What would the contrasts look like?
Thanks in advance!
Laura Willers de Souza
Master Student in Biochemistry
Zimmer Lab - Federal University of Rio Grande do Sul
- Porto Alegre/RS - Brazil
______________________________________________________________________________________________________________________
Answer by Douglas N. Greve:
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:
* the regression coefficient is significant only for the difference between groups,
this could possibly mean two things: the difference in offset [1 -1 0 0] or the difference in slopes ([0 0 1 -1]
* 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 me
Is 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*CIslope
There 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 contrasts
Can you include the previous emails in your current email?
On 12/14/2021 3:46 PM, Laura Willers de Souza wrote:
External Email - Use Caution
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 (https://secure-web.cisco.com/167C29YNX7zfLWwqWmDEyW2u0U9L8s5MOx2EkFimQ0RmjVd...https://secure-web.cisco.com/1qbucUNWhNS-2uW6Lox1w2bMK8EUHU0lm2XC7ywMcgAz1opgFdJ9TpOloRtF1uTmyVc70aldT5QkaELBu9kC0X6YiGpVUzZ3hV6ImEDrYAPF9VgAmDOudc6SysPVlhaUvzzGFirVYNLChsA_roK3faZNzYnWbdGPEJSgasor3qtQpKeAN7XvnQ4X24hWQfi35Rh8kF9yIsndHzOZGNxOdCH7U2CUMc9KxEL3N9u2-8weS-Fz01NHj2B_xMyBA8BlbS0n_wekioRXCPViGU3a_0zVQxE5Wu9sLPwFsQ3peECtbgAqHVmzWbyks9AhB3fWY/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FFsgdf2G1V), 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
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 Mass General Brigham Compliance HelpLine at http://secure-web.cisco.com/15YKs15MrVipaAQPNzFbfDc1WeC53xCH-PvPckbjRwba50Pv... . 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.
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This contrast will do it: [1 -1 0 0] But I would first test [0 0 -1 1] to see if the slopes are different. If not, then use [1 -1 0] with DOSS instead of DODS
On 12/14/2021 5:07 PM, Laura Willers de Souza wrote:
External Email - Use Caution
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:
- 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.
Is my FSGD file (attached) correct? What would the contrasts look like?
Thanks in advance!
*Laura Willers de Souza *
Master Student in Biochemistry
Zimmer Lab - Federal University of Rio Grande do Sul
- Porto Alegre/RS - Brazil
Answer by Douglas N. Greve:
Hello FreeSurfer Developers, I want to perform an analysis of the difference between two groups incortical thickness, having cortisol levels as covariate. This is my model: cortical thickness ~ pathology (CU/CI) + CSFcortisol + pathology*CSF cortisol From the GLM DODS analysis I want to know if: * the regression coefficient is significant only for the difference between groups,this could possibly mean two things: the difference in offset [1 -1 0 0]or the difference in slopes ([0 0 1 -1]
* 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 me
Is 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*CIslope There 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 contrasts Can you include the previous emails in your current email?
On 12/14/2021 3:46 PM, Laura Willers de Souza wrote:
External Email - Use Caution
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 https://secure-web.cisco.com/1qbucUNWhNS-2uW6Lox1w2bMK8EUHU0lm2XC7ywMcgAz1opgFdJ9TpOloRtF1uTmyVc70aldT5QkaELBu9kC0X6YiGpVUzZ3hV6ImEDrYAPF9VgAmDOudc6SysPVlhaUvzzGFirVYNLChsA_roK3faZNzYnWbdGPEJSgasor3qtQpKeAN7XvnQ4X24hWQfi35Rh8kF9yIsndHzOZGNxOdCH7U2CUMc9KxEL3N9u2-8weS-Fz01NHj2B_xMyBA8BlbS0n_wekioRXCPViGU3a_0zVQxE5Wu9sLPwFsQ3peECtbgAqHVmzWbyks9AhB3fWY/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FFsgdf2G1V), 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
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 Mass General Brigham Compliance HelpLine at http://www.massgeneralbrigham.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.
Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.
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