Seems fine to me.
As a side-note, you may want to consider centering bslBMI and other continuous predictors (other than time), and time should be time_from_baseline.
Best,
Kersten
________________________________________ From: freesurfer-bounces@nmr.mgh.harvard.edu [freesurfer-bounces@nmr.mgh.harvard.edu] On Behalf Of Donatas Sederevicius [donatas.sederevicius@psykologi.uio.no] Sent: Thursday, September 07, 2017 12:19 PM To: freesurfer@nmr.mgh.harvard.edu Subject: [Freesurfer] LME model and contrast
Dear freesurfer team,
I’m trying to use freesurfer LME tools to check whether baseline BMI scores (BMI scores at the first timepoint) have a statistically significant effect/impact on longitudinal thickness changes accounting for baseline age and gender. The model I’m thinking of is:
Y_ij = b0 + b1 * t_ij + b2 * bslBMI_i + b3 * bslBMI_i * t_ij + b4 * gender_i + b5 * bslAge_i
and the contrast CM.M = [0 0 0 1 0 0]. Is this a correct way of doing it or did I misinterpret something?
Thank you. -Donatas
_______________________________________________ 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.