Hi Meng, the first row is what you want. The second row tests for an interaction between diagnosis, genotype, and age. doug
On 08/04/2012 10:23 PM, Meng Li wrote: > Hi Freesurfers, > > My experimental design includes 3 discrete factors and 1 continuous > variables: > > Discrete factors: diagnosis with two levels (A, B); genotype with two > levels (G, T); gender (F, M) > > Continuous variable: age > > So I can get 8 classes: AGF, AGM, ATF,ATM, BGF, BGM, BTF, BTM. Then I > want to perform 2 (diagnosis)* 2(genotype) interaction analysis with > regressing out the effect of gender and age. Is the following contrast > matrix correct? > > 0.25 0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 0 0 0 0 0 0 0 0 > > 0 0 0 0 0 0 0 00.25 0.25 -0.25 -0.25 -0.25 -0.25 0.25 0.25 > > Any help will be very appreciated. > > Best wishes, > > Meng > > > > > > > > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer -- Douglas N. Greve, Ph.D. MGH-NMR Center gr...@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
