Got it! I guess we may work around by specifying weighted contrast like [ 0.1
0.2 0.3 0.4 ] ?
--
Daniel (Yung-Jui) Yang, Ph.D.
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
Tel: (203) 737-5454
E-mail: yung-jui.y...@yale.edu
On 2/18/14 11:25 PM, "Douglas Greve"
mailto:gr...@
Let's say you have four groups with 10 20 30 40 (100 total). The first
group would get a weight of .25 where it only had 10% of the total. I
don't think there is any way around this.
On 2/18/14 4:07 PM, Yang, Daniel wrote:
Doug, sorry, I am not sure I can fully understand.
Do you mean the
Doug, sorry, I am not sure I can fully understand.
Do you mean the results are weighted MORE toward groups with smaller sample
sizes (than groups with larger sample sizes)?
--
Daniel (Yung-Jui) Yang, Ph.D.
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
Tel: (203) 737-5454
E-mail:
It will tend to weight smaller groups by a proportion greater than the
number of subjects in the group.
On 02/18/2014 01:58 PM, Yang, Daniel wrote:
> Thanks Doug! One follow-up question: since it's [0.25 0.25 0.25
> 0.25], would the effect be biased toward large sample sizes in one of
>
Thanks Doug! One follow-up question: since it's [0.25 0.25 0.25 0.25], would
the effect be biased toward large sample sizes in one of the groups (versus the
other groups)?
Or, does FreeSurfer qdec take care of the unequal cell, in a possible way
analogous to using Type III SS in the traditio
That looks right to me
doug
On 02/18/2014 10:08 AM, Yang, Daniel wrote:
> Dear FreeSurfer experts,
>
> I have two binary factors (F1: F1L1 F1L2; F2: F2L1 F2L2), 1 covariate
> (COV), and 1 nuisance factor (NUI). I want to make sense of some
> specification of the regressors and contrasts.
> Beca
Dear FreeSurfer experts,
I have two binary factors (F1: F1L1 F1L2; F2: F2L1 F2L2), 1 covariate (COV),
and 1 nuisance factor (NUI). I want to make sense of some specification of the
regressors and contrasts.
Because they are not described in
http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G1V, I