Hi Nicolas

The "common random effects design matrix" expression  
means that all subjects in your prospective study are expected in 
advance to have the same random effects design matrix (Zi). If you 
assume a linear trajectory over time and a two-year study with repeated 
measurements every six months then this matrix can be:

1  0
1  0.5
1  1
1  1.5
1  2


In this case you are considering both intercept and time as random effects. 
ZiCol
is the column of the above matrix that you are interested in (usually column 2, 
slope of change over time). 

To
 compute sample size you also need estimates of the random effects 
covariance matrix (Dhat), within-subject measurement error, effect size,
 and drop-out rate. If your study is about Alzheimer-related hippocampal
 volume or cortical thickness variations you can use our sample ADNI 
data to compute those values (ADNI791_Hipp_and_Entorh.mat). Eg.

lme_plannedSampleSize(Zi,2,total_hipp_vol_stats.Dhat,total_hipp_vol_stats.phisqhat,1,.2,.8,0.05)

Alternatively,
 you can perform a pilot longitudinal study with a small sample or you 
can use information from previous studies that are similar to the study 
that you are planning to run, or you can even analyse some  public 
available longitudinal data with lme to compute those values.

We performed sample size estimations for the study described in our paper in 
the wiki page:

http://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels


It may be useful for you to take a look at it.

Best
-Jorge





>________________________________
> De: nicolas guizard <n.guiz...@gmail.com>
>Para: freesurfer@nmr.mgh.harvard.edu 
>Enviado: Jueves 11 de abril de 2013 14:28
>Asunto: [Freesurfer] Fwd: Sample size estimation from LME models
> 
>
>
>Hi,
>I am new to Freesurfer and the Linear Mixed Effects (LME) Models packages. And 
>I would like to compute sample size from volumetric measures for 2 groups.
>
>
>I followed the longitudinal example provided in the wiki 
>(http://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels#a.29Univariate),
> with the ADNI example. But I am not sure what to use for the "common random 
>effect design matrix" Zi and "column" ZiCol with the 
>lme_plannedSampleSize(Zi,ZiCol,Dhat,phisqhat,effsz,dr,pw,alpha,gr_pr) function:
>
>
>Here is what I do in matlab:
>
>
>> load('ADNI791_Hipp_and_Entorh.mat')
>
>> total_hipp_vol_stats = lme_fit_EM(X_Hipp,[1,2],Y(:,1)+Y(:,2),ni);
>
>> lme_plannedSampleSize(total_hipp_vol_stats.X,[1,2],total_hipp_vol_stats.Dhat,total_hipp_vol_stats.phisqhat,1,.2,.8,0.05)
>
>> ans =
>
>
>   1.0e+07 *
>
>
>    1.3584    0.0154
>    0.0154    0.0100
>
>
>Is that right?
>
>
>Regards,
>Nicolas
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