Nele,
 You'll need to rearrange/reassign your ETAs so that you can have correlation between CL(1) and F1, and CL(2) and F1, but not CL(1) and CL(2).  So, put ETA(1) on CL(1), ETA(2) on F1 and ETA(3) on CL(2), then $OMEGA like this:

$OMEGA BLOCK(3)
0.1                     ;CL(1)
0.01 0.1             ;F1
0      0.01   0.1  ;CL(2)

This is the BAND matrix, which is permitted.

Mark Sale MD
Next Level Solutions, LLC
www.NextLevelSolns.com
919-846-9185

-------- Original Message --------
Subject: [NMusers] OMEGA BLOCK with mixture model?
From: nele.pl...@nycomed.com
Date: Tue, April 14, 2009 11:08 am
To: nmusers@globomaxnm.com


Dear all,

I am trying to fit a PK model to oral data. In the data, we observed two things: First, CL seems to be negatively correlated with F1. Secondly, there seem to be two subpopulations in the exposure, let's say a large group with 'normal' and a second group with high exposure. I would like to identify the subpopulations using a mixture model, but keep the correlation between CL and F1. Now I ran into problems when coding the $OMEGA BLOCK.

I figured the block to be something like:
$OMEGA BLOCK(3)
0.1  ;CL1
0 FIX 0.1 ;CL2
0.01 0.01 0.1 ;F1

The error message that appears is:
a covariance is zero, but the block is not a band matrix

I assume that this means that I am not allowed to fix the correlation between the two clearance-omegas to zero. However, it would be unreasonable to allow a correlation, because the omegas belong to different subpopulations, so there can't be a correlation. On the other hand, I did not include subpopulations for F1, so how can I keep this correlation to both CL-subgroups?

Any thoughts on this would be highly appreciated!
Best wishes
Nele
______________________________________________________________

Dr. Nele Plock
Pharmacometrics -- Modeling and Simulation

Nycomed GmbH
Byk-Gulden-Str. 2
D-78467 Konstanz, Germany

Fon: (+49) 7531 / 84 -  4759
Fax: (+49) 7531 / 84 - 94759

mailto: nele.pl...@nycomed.com
http://www.nycomed.com

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