Jorge, Thanks for the clarification. I will try an analysis using [1 2 3] with all of the subjects with a minimum of 4 repeats and compare the results using the same analysis on all subjects with a minimum of 3 repeats. This is worthwhile for us since we lose quite a few when excluding those subjects with only 3 repeats. Your response also brings up the interesting point of what we can expect when including subjects with a single measure (I think a new feature in your longitudinal analysis). I guess they would contribute to specifying group differences at the level of the intercept?
--Francois From: jorge luis <jbernal0...@yahoo.es<mailto:jbernal0...@yahoo.es>> Reply-To: jorge luis <jbernal0...@yahoo.es<mailto:jbernal0...@yahoo.es>> Date: Wednesday, March 27, 2013 4:58 PM To: Francois Lalonde <flalo...@mail.nih.gov<mailto:flalo...@mail.nih.gov>>, "freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>" <freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>> Subject: Re: [Freesurfer] specifying random effects in LME (Linear Mixed Effects models) Hi Francois If you want to test the model with three random effects including intercept, time, and time*time as the random effects then you should use [1 2 3] (these are the columns corresponding to those covariates in X). Actually, for the example in the wiki page we first tested [1 2 3] but the model [1 2] was the best at most vertices. In general, you need more than 4 repeated measures to think of including three random effects in the model for the covariance. Otherwise two random effects are usually enough (you can still include time*time in the model for the mean as in the wiki ). Also, computation time increases quickly with the number of random effects. There is an oncoming paper that will expand more on our longitudinal mass-univariate analyses with lme (hopefully soon). Best -Jorge ________________________________ De: "Lalonde, Francois (NIH/NIMH) [E]" <flalo...@mail.nih.gov<mailto:flalo...@mail.nih.gov>> Para: "freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>" <freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>> Enviado: Miércoles 27 de marzo de 2013 15:20 Asunto: [Freesurfer] specifying random effects in LME (Linear Mixed Effects models) I am following the wiki page for LME analysis and I have a quick question. The Mass-univariate example near the bottom of the page proposes an initial model that contains intercept, linear and quadratic terms as random effects. However, the examples just below for lme_mass_fit_EM_init(), lme_mass_fit_EM_Rgw() only have [1 2] as selected random effects. Should the vector Zcols contain [1 2 3] as selected random effects in order to test the proposed model? Thanks, Francois François Lalonde, Ph.D. Child Psychiatry Branch NIMH / NIH 10 Center Drive, Room 3N202 Bethesda, MD 20892 _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu<mailto: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. _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
