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 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: _yung-jui.yang@yale.edu_

On 2/18/14 2:13 PM, "Douglas N Greve" <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:

      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
        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 traditional ANOVA?

        Best,
        Daniel
-- Daniel (Yung-Jui) Yang, Ph.D.
        Postdoctoral Researcher
        Yale Child Study Center
        New Haven, CT
        Tel: (203) 737-5454
        E-mail: _yung-jui.yang@yale.edu_ <mailto:_yung-jui.yang@yale.edu_>

        On 2/18/14 1:30 PM, "Douglas N Greve"
        <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
        <mailto:gr...@nmr.mgh.harvard.edu>
        <mailto:gr...@nmr.mgh.harvard.edu%3E>> wrote:

             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.
                 Because they are not described
                 in
        http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G1V, I post my
                 understanding below. Can you let me know if it is
        correct?

                 This model using the DODS method will have 12 regressors:

                 Regressor1: 1's for F1L1 F2L1, 0 otherwise (i.e.,
        offset for
                 Group 1)
                 Regressor2: 1's for F1L1 F2L2, 0 otherwise (i.e,
        offset for
                 Group 2)
                 Regressor3: 1's for F1L2 F2L1, 0 otherwise (i.e.,
        offset for
                 Group 3)
                 Regressor4: 1's for F1L2 F2L2, 0 otherwise (i.e.,
        offset for
                 Group 4)
                 Regressor5: COV for Group1 subjects, 0 otherwise
        (i.e., COV
                 slope for
                 Group 1)
                 Regressor6: COV for Group2 subjects, 0 otherwise
        (i.e., COV
                 slope for
                 Group 2)
                 Regressor7: COV for Group3 subjects, 0 otherwise
        (i.e., COV
                 slope for
                 Group 3)
                 Regressor8: COV for Group4 subjects, 0 otherwise
        (i.e., COV
                 slope for
                 Group 4)
                 Regressor9: NUI for Group1 subjects, 0 otherwise
        (i.e., NUI
                 slope for
                 Group 1)
                 Regressor10: NUI for Group2 subjects, 0 otherwise
        (i.e., NUI
                 slope for
                 Group 2)
                 Regressor11: NUI for Group3 subjects, 0 otherwise
        (i.e., NUI
                 slope for
                 Group 3)
                 Regressor12: NUI for Group4 subjects, 0 otherwise
        (i.e., NUI
                 slope for
                 Group 4)

                 Description1: Does the correlation between thickness
        and COV,
                 accounting for F1 and F2, differ from 0? Nuisance
        factors: NUI
                 Contrast1:
        [0  0  0  0  0.25  0.25  0.25  0.25  0  0  0  0]

                 Best,
                 Daniel

                 --
                 Daniel (Yung-Jui) Yang, Ph.D.
                 Postdoctoral Researcher
                 Yale Child Study Center
                 New Haven, CT
                 Tel: (203) 737-5454
                 E-mail: _yung-jui.yang@yale.edu_
        <mailto:_yung-jui.yang@yale.edu_>
        <mailto:_yung-jui.yang@yale.edu_>


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             --
             Douglas N. Greve, Ph.D.
             MGH-NMR Center
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-- Douglas N. Greve, Ph.D.
    MGH-NMR Center
    gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
    Phone Number: 617-724-2358
    Fax: 617-726-7422

    Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
    FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
    www.nmr.mgh.harvard.edu/facility/filedrop/index.html
    Outgoing:
    ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/

    _______________________________________________
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