Dear FS experts
I have a question regarding the number of maximal permutations. I compare a single patient versus a group of six control subjects. Intuitively, I guess that only six different permutations are possible. However, when running 100 permutations in FS with mri_glmfit-sim, I get different results for each permutations as confirmed in the CSD file.
So, I am not sure any longer whether the permutations are built by permuting the subjects or anything else.
The other question is how mri_glmfit estimates the variance. Because I have only one subject in the patient group, there is not variance in that group and therefore I guess mri_glmfit used pooled (across both groups) estimates of variance, isn't it?
Any comment is highly appreciated Thanks in advance Best regards Jürgen
---------------------------------------------------------------------------- Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
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Daer FS experts
Please ignore my questions wrt the number of maximal permutations. I recognized that this is dependent on the option mc-z or perm.
The other question is how mri_glmfit estimates the variance. Because I have only one subject in the patient group, there is no variance in that group and therefore I guess mri_glmfit used pooled (across both groups) estimates of variance, isn't it?
Thanks in advance Regards Jürgen
On [DATE], "Jürgen Hänggi" <[ADDRESS]> wrote:
Dear FS experts
I have a question regarding the number of maximal permutations. I compare a single patient versus a group of six control subjects. Intuitively, I guess that only six different permutations are possible. However, when running 100 permutations in FS with mri_glmfit-sim, I get different results for each permutations as confirmed in the CSD file.
So, I am not sure any longer whether the permutations are built by permuting the subjects or anything else.
The other question is how mri_glmfit estimates the variance. Because I have only one subject in the patient group, there is not variance in that group and therefore I guess mri_glmfit used pooled (across both groups) estimates of variance, isn't it?
Any comment is highly appreciated Thanks in advance Best regards Jürgen
Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
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---------------------------------------------------------------------------- Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
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Hi Jurgen,
Jürgen Hänggi wrote:
Dear FS experts
I have a question regarding the number of maximal permutations. I compare a single patient versus a group of six control subjects. Intuitively, I guess that only six different permutations are possible. However, when running 100 permutations in FS with mri_glmfit-sim, I get different results for each permutations as confirmed in the CSD file.
So, I am not sure any longer whether the permutations are built by permuting the subjects or anything else.
It permutes the rows of the design matrix. In your case, there are only 7 possible design matrices, so the CSD files should have only 7 different values. Can you verify this?
The other question is how mri_glmfit estimates the variance. Because I have only one subject in the patient group, there is not variance in that group and therefore I guess mri_glmfit used pooled (across both groups) estimates of variance, isn't it?
Yes, it uses pooled estimates.
doug
Any comment is highly appreciated Thanks in advance Best regards Jürgen
Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
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Hi Doug
Yes, there are only 7 different values when I use the perm option. But I used the mc-z option that produces synthetic data and therefore all values were different.
Thanks Jürgen
On [DATE], "Douglas N Greve" <[ADDRESS]> wrote:
Hi Jurgen,
Jürgen Hänggi wrote:
Dear FS experts
I have a question regarding the number of maximal permutations. I compare a single patient versus a group of six control subjects. Intuitively, I guess that only six different permutations are possible. However, when running 100 permutations in FS with mri_glmfit-sim, I get different results for each permutations as confirmed in the CSD file.
So, I am not sure any longer whether the permutations are built by permuting the subjects or anything else.
It permutes the rows of the design matrix. In your case, there are only 7 possible design matrices, so the CSD files should have only 7 different values. Can you verify this?
The other question is how mri_glmfit estimates the variance. Because I have only one subject in the patient group, there is not variance in that group and therefore I guess mri_glmfit used pooled (across both groups) estimates of variance, isn't it?
Yes, it uses pooled estimates.
doug
Any comment is highly appreciated Thanks in advance Best regards Jürgen
Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
This e-mail (and any attachment/s) contains confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error) please notify the sender immediately and destroy this e-mail. Any unauthorised copying, disclosure or distribution of the material in this e-mail is strictly forbidden.
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---------------------------------------------------------------------------- Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
This e-mail (and any attachment/s) contains confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error) please notify the sender immediately and destroy this e-mail. Any unauthorised copying, disclosure or distribution of the material in this e-mail is strictly forbidden. ----------------------------------------------------------------------------
yes, that is correct. doug
Jürgen Hänggi wrote:
Hi Doug
Yes, there are only 7 different values when I use the perm option. But I used the mc-z option that produces synthetic data and therefore all values were different.
Thanks Jürgen
On [DATE], "Douglas N Greve" <[ADDRESS]> wrote:
Hi Jurgen,
Jürgen Hänggi wrote:
Dear FS experts
I have a question regarding the number of maximal permutations. I compare a single patient versus a group of six control subjects. Intuitively, I guess that only six different permutations are possible. However, when running 100 permutations in FS with mri_glmfit-sim, I get different results for each permutations as confirmed in the CSD file.
So, I am not sure any longer whether the permutations are built by permuting the subjects or anything else.
It permutes the rows of the design matrix. In your case, there are only 7 possible design matrices, so the CSD files should have only 7 different values. Can you verify this?
The other question is how mri_glmfit estimates the variance. Because I have only one subject in the patient group, there is not variance in that group and therefore I guess mri_glmfit used pooled (across both groups) estimates of variance, isn't it?
Yes, it uses pooled estimates.
doug
Any comment is highly appreciated Thanks in advance Best regards Jürgen
Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
This e-mail (and any attachment/s) contains confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error) please notify the sender immediately and destroy this e-mail. Any unauthorised copying, disclosure or distribution of the material in this e-mail is strictly forbidden.
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Jürgen Hänggi, Ph.D. Division Neuropsychology Institute of Psychology University of Zurich Binzmuehlestrasse 14, PO Box 25 8050 Zurich, Switzerland 0041 44 635 73 97 (phone office) 0041 76 445 86 84 (phone mobile) 0041 44 635 74 09 (fax office) BIN 4.D.04 (office room number) j.haenggi[at]psychologie.uzh.ch (email) http://www.psychologie.uzh.ch/neuropsy/ (website) http://www.juergenhaenggi.ch (private website)
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