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
Kind regards,
Bronwyn Overs
Research Assistant
Kind regards,
Bronwyn Overs
Research Assistant
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
On 4 Apr 2017, at 11:47 pm, Martin Reuter <mreuter@nmr.mgh.harvard.edu> wrote:_______________________________________________Hi Bronwyn,
ok, now I understand. I am not sure which one to take, I guess it won't matter much. Why don't you try either way and see if you get the same result.
Best, Martin
On 03/30/2017 12:59 AM, Bronwyn Overs wrote:
Hi Martin,
Yes this is for a mass univariate approach. Re segmentation I was referring to the lhRgs output from the lme_mass_fit_Rgw command:lhstats_1RF = lme_mass_fit_Rgw(X,[1],Y,ni,lhTh0_1RF,lhRgs,lhsphere);So if both models have the same number of random effect, does it matter which lhRgs do I use?Kind regards,
Bronwyn Overs
Research AssistantNeuroscience 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
On 30 Mar 2017, at 12:18 am, Martin Reuter <mreuter@nmr.mgh.harvard.edu> wrote:
_______________________________________________Hi Bronwyn,
is this for a mass univariate approach? What do you mean with segmentation? ROI or vertex-wise vs region-wise?
Best, Martin
On 03/29/2017 01:23 AM, Bronwyn Overs wrote:
Hi Mailing List,
If you are comparing two matlab based linear mixed effects models (vertex-wise) with the same number of random effects (e.g. model with random effect for time vs. model with random effect for age at baseline), which segmentation should you use to estimate the parameters for both models?
Kind regards,
Bronwyn Overs
Research AssistantNeuroscience 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
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