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For DODS you would add 16 zeros (8 classes times 2 continuous variables)_______________________________________________
On 11/11/2021 4:00 PM, Zeng, Qi wrote:
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So for the DODS case, is "1 -1 1 -1 1 -1 1 -1 0 0 0 0" for the following FSGD:
GroupDescriptorFile 1Title MyStudyClass CaseMaleWhiteClass ControlMaleWhiteClass CaseMaleNonWhiteClass ControlMaleNonWhiteClass CaseFemaleWhiteClass ControlFemaleWhiteClass CaseFemaleNonWhiteClass ControlFemaleNonWhiteVariables age_bl eTIVInput Sub001_base ControlFemaleWhite 85 1350519.71Input Sub002_base ControlFemaleWhite 81.3 1558515.86
Best,Qi
On Thu, Nov 11, 2021 at 3:28 PM Douglas N. Greve <dgreve@mgh.harvard.edu> wrote:
For the DOSS case, yes._______________________________________________
On 11/11/2021 3:23 PM, Zeng, Qi wrote:
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Hi Douglas,
If to set up the FSGD as below, is my design matrix for case and control comparison as "1 -1 1 -1 1 -1 1 -1 0 0" ?
GroupDescriptorFile 1Title MyStudyClass CaseMaleWhiteClass ControlMaleWhiteClass CaseMaleNonWhiteClass ControlMaleNonWhiteClass CaseFemaleWhiteClass ControlFemaleWhiteClass CaseFemaleNonWhiteClass ControlFemaleNonWhiteVariables Age eTIVInput Sub001_base Control Female White 85 1350519.71Input Sub002_base Control Female White 81.3 1558515.86
Best,Qi
On Thu, Nov 11, 2021 at 3:06 PM Douglas N. Greve <dgreve@mgh.harvard.edu> wrote:
I would advice setting up the FSGD files with 8 classes based on your 3 discrete, 2-level variables, eg, MaleControlWhite then use two continuous variables Age and eTIV._______________________________________________
You should definitely normalize the eTIV (and probably age too)
On 11/10/2021 7:07 PM, Zeng, Qi wrote:
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Hi Douglas,
Just to be clear, should I recode discrete variables as numeric as sample1) or change discrete variables into strings 2) or even change the comparison groups into strings too 3)?
1)Variables Age Gender Race eTIVInput Sub001_base Control 85 1 1 1350519.71Input Sub002_base Control 81.3 0 1 1558515.86Input Sub003_base Control 81.3 0 0 1558515.86
or 2)Variables Age Gender Race eTIVInput Sub001_base Control 85 "Female" "White" 1350519.71Input Sub002_base Control 81.3 "Male" "White" 1558515.86Input Sub003_base Control 72.7 "Male" "White" 1187649.47
or 3)Variables Age Gender Race eTIVInput Sub001_base "Control" 85 "Female" "White" 1350519.71Input Sub002_base "Control" 81.3 "Male" "White" 1558515.86Input Sub003_base "Control" 72.7 "Male" "White" 1187649.47
Best,Zeng
On Wed, Nov 10, 2021 at 6:38 PM Douglas N. Greve <dgreve@mgh.harvard.edu> wrote:
Did you read the error message? It says:_______________________________________________
Variable 2 has character string FemaleVariables should be continuous numbersYou have listed Gender and Race as strings, they have to be numbers (eg, 1, 2)
You probably want to have these be discrete variables instead of continuous
On 11/10/2021 6:20 PM, Zeng, Qi wrote:
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Hi Douglas,
Here is the command line:mri_glmfit \--y rh.thickness-rate.MyStudy.10.mgh \--fsgd FSGD/MyStudy.fsgd dods\--C Contrasts/Case-Control_age_gender_race_etiv.mtx\--surf fsaverage rh \--cortex \--glmdir rh.thickness-rate.MyStudy.10.mgh_age_gender_race_etiv.glmdir \--eres-save
Also error message in terminal:gdfRead(): reading FSGD/MyStudy.fsgdWARNING: variable 1 is "Gender" which is often a discrete factorThe proper way to handle discrete factors is to create classes.ERROR: gdfReadV1: Format Error: Input line 1, subjid = sub001_baseVariable 2 has character string FemaleVariables should be continuous numbersFSGDF Format Error: file = FSGD/MyStudy.fsgd, tag=Input
Also attached FSGD file below.Thank you so much for the help!
Best,Zeng
On Wed, Nov 10, 2021 at 5:41 PM Douglas N. Greve <dgreve@mgh.harvard.edu> wrote:
please send your command line and full terminal output as well as the fsgd file_______________________________________________
On 11/10/2021 5:12 PM, Zeng, Qi wrote:
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Hi Freesurfer experts,
Here, I want to design a simple group comparison (two levels: Case vs. Control) and also count for 4 covariates (two continuous and two categoricals). However, the GLM model cannot recognize my discrete variables. What do you suggest to change?>> FSDG file:GroupDescriptorFile 1Title MyStudyClass ControlClass CaseVariables age gender race eTIVInput sub001_base Control 85 Female White 1350519Contrast:>> Design matrix for Case-Control and regress out the effect of age, gender, race, and eTIV.-1 1 0 0 0 0 0 0 0 0
Best,Zeng
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