Dear Freesurfer Mailing List,
I am running a GLM in freesurfer 2 categorical variables (2 levels), and three continuous variables (age, prs, & sles). My fsgd file looks like this:
GroupDescriptorFile 1 Title GLM_sles-group-gender-age Class genderMale-groupControl Class genderFemale-groupControl Class genderMale-groupAtRisk Class genderFemale-groupAtRisk Variables age prs sles Input ID_001 genderFemale-groupAtRisk 20 21 96 Input ID_002 genderFemale-groupControl 21 13 79 ...
I want to test for an interaction between prs and sles, while controlling for age, gender, and group. Can you tell me if the following contrast vector will correctly test for this interaction:
0 0 0 0 0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 0 0 0 0
I think this is the contrast you need
0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 - 0.5 -0.5 -0.5 -0.5
On 10/19/2014 06:33 PM, Bronwyn Overs wrote:
Dear Freesurfer Mailing List,
I am running a GLM in freesurfer 2 categorical variables (2 levels), and three continuous variables (age, prs, & sles). My fsgd file looks like this:
GroupDescriptorFile 1 Title GLM_sles-group-gender-age Class genderMale-groupControl Class genderFemale-groupControl Class genderMale-groupAtRisk Class genderFemale-groupAtRisk Variables age prs sles Input ID_001 genderFemale-groupAtRisk 20 21 96 Input ID_002 genderFemale-groupControl 21 13 79 ...
I want to test for an interaction between prs and sles, while controlling for age, gender, and group. Can you tell me if the following contrast vector will correctly test for this interaction:
0 0 0 0 0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 0 0 0 0
--
Kind regards,
Bronwyn Overs Research Assistant
Neuroscience Research Australia
Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265
neura.edu.au http://neura.edu.au
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Thanks Douglas. That is exactly what I wanted.
Kind regards,
Bronwyn Overs Research Assistant
Neuroscience Research Australia
Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265
neura.edu.au http://neura.edu.au
Follow @neuraustralia on twitter https://twitter.com/neuraustraliaFollow NeuRA on facebook https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe to the NeuRA Magazine http://www.neura.edu.au/help-research/subscribe
On 21/10/2014 2:37 am, Douglas N Greve wrote:
I think this is the contrast you need
0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 - 0.5 -0.5 -0.5 -0.5
On 10/19/2014 06:33 PM, Bronwyn Overs wrote:
Dear Freesurfer Mailing List,
I am running a GLM in freesurfer 2 categorical variables (2 levels), and three continuous variables (age, prs, & sles). My fsgd file looks like this:
GroupDescriptorFile 1 Title GLM_sles-group-gender-age Class genderMale-groupControl Class genderFemale-groupControl Class genderMale-groupAtRisk Class genderFemale-groupAtRisk Variables age prs sles Input ID_001 genderFemale-groupAtRisk 20 21 96 Input ID_002 genderFemale-groupControl 21 13 79 ...
I want to test for an interaction between prs and sles, while controlling for age, gender, and group. Can you tell me if the following contrast vector will correctly test for this interaction:
0 0 0 0 0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 0 0 0 0 0 0 0 0 0.5 0.5 0.5 0.5 0 0 0 0
--
Kind regards,
Bronwyn Overs Research Assistant
Neuroscience Research Australia
Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265
neura.edu.au http://neura.edu.au
Follow @neuraustralia on twitter https://twitter.com/neuraustraliaFollow NeuRA on facebook https://www.facebook.com/NeuroscienceResearchAustraliaSubscribe to the NeuRA Magazine http://www.neura.edu.au/help-research/subscribe
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
freesurfer@nmr.mgh.harvard.edu
-
Bronwyn Overs -
Douglas N Greve