Hi Bronwyn, 

I think years-between-scans should be years-from-baseline-scans . You may need 
to compute that if what you have is really years between neighbouring scans.

1. Usually people use intercept and maybe years-from-baseline as random 
effects. I would not include too many random effects, as it each adds a lot of 
free parameters and you need a lot of data to fit all that in a meaningful way. 
Which of your columns are random effects can be passed lme_fit_FS(X,[1 
2],Y(:,1)+Y(:,2),ni);
for example has column 1 and 2 as random effects. 

2. You can do a model comparison as described on our wiki 
https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels 
<https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels> 

You run the more complex model first (do the EM init and maybe RgGrow and RgW 
fit) and then the simple one (only the EMinit and  RgW fit) and do a likelihodd 
ratio test.  An example is on the above wiki.

Best ,Martin 





> On 27 Feb 2017, at 04:16, Bronwyn Overs <b.ov...@neura.edu.au> wrote:
> 
> Dear mailing list,
> 
> I am trying to run a LME model using the matlab tools, but I’m unsure how to 
> specify the model we wish to run. We have a qdec file that contains the 
> following columns:
> fsid, fsid-abse, years between scans, age at baseline, gender, group
> 
> We want to specify a model where we can examine four interaction terms 
> (years*age, years*group, age*group, years*age*group), as well as random 
> effects for the intercept, years and age. My questions are:
> 1. How do we specify a model that will include the random effects we want?
> 2. How do we compare our full model (3 random effects) with a model excluding 
> the random effect for age?
> 
> Kind regards,
> Bronwyn Overs
> Research Assistant
> 
> Neuroscience Research Australia
> Margarete Ainsworth Building
> Barker Street Randwick Sydney NSW 2031 Australia
> M 0411 308 769 T +61 2 9399 1883 F +61 2 9399 1265
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