Dear Ana,
I think the matrix presented in your email is already able to realize your idea
if you change '$OMEGA' to '$OMEGA BLOCK(6)'.A value of 0 in OMEGA matrix is
considered as it's fixed to this value.
Personall speaking, I suggest you take Elke/Rudy's advice, putting these three
in an $OMEGA BLOCK(3) and list the remaining OMEGAs separately in$OMEGA.
But technically, they are all the same, because the default assumption in
$OMEGA is that they are diagonal matrices with all off-diagonal elements
assumed to be 0.
Best regards,Rong
From: Ana Miranda Bastos <[email protected]>
To: "[email protected]" <[email protected]>
Sent: Tuesday, 28 July 2015, 20:52
Subject: [NMusers] Implementation of the OMEGA covariance matrix
Dear NMusers,
I wonder if someone could help me to implement the OMEGA covariance matrix
below.
$OMEGA
0.09 ; PPV_VMAX
0.00 0.09 ; PPV_V1
0.00 0.00 0.09 ; PPV_V2
0.00 0.00 0.00 0.09 ; PPV_KD
0.00 0.01 0.00 0.00 0.09 ; PPV_BMAX
0.00 0.01 0.00 0.00 0.01 0.09 ; PPV KM
I don't want to fix any value to zero, but I don't know how to better
illustrate that I would like to consider a covariance between:
. V1 and Bmax
. Bmax and Km
. V1 and Km
Any advice is highly appreciated. Thank you in advance.
Kind regards,
Ana
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Ana Bastos, Pharm, MSc, PhD student
Pharmacologie cellulaire et moléculaire
(Cellular and Molecular Pharmacology Unit)
Louvain Drug Research Institute
Université catholique de Louvain (Catholic University of Louvain)
UCL 7370 avenue E. Mounier 73
1200 Bruxelles, Belgique
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http://www.facm.ucl.ac.be
