Hi Bob,

Thanks for the clarification. Would you agree that the conditional means are 
more trustworthy, in case there is a relevant difference? In my specific 
dataset, there are 5 subjects for whom the conditional means yield a much 
better individual fit, than the "post-hoc" eta's. 
I believe that in Monolix, the individual parameter estimates are the 
conditional means, no? In my example

Kind regards,

Filip
-----Oorspronkelijk bericht-----
Van: Bauer, Robert [mailto:[email protected]]
Verzonden: di 7/08/2012 18:28
Aan: De Ridder, Filip [JRDBE]; [email protected]
Onderwerp: RE: NM7.2 SAEM with LIKE
 
Filip:
The $TABLE results are obtained from a "post-hoc" assessment at the best fit 
eta values (modal, EBE), regardless of the method used.  To evaluate $TABLE 
parameters at the conditional mean positions, you may select FNLETA=0.

Robert J. Bauer, Ph.D.
Vice President, Pharmacometrics, R&D
ICON Development Solutions
7740 Milestone Parkway
Suite 150
Hanover, MD 21076
Tel: (215) 616-6428
Mob: (925) 286-0769
Email: [email protected]
Web: www.iconplc.com<http://www.iconplc.com/>


________________________________
From: [email protected] [mailto:[email protected]] On 
Behalf Of De Ridder, Filip [JRDBE]
Sent: Tuesday, August 07, 2012 10:18 AM
To: [email protected]
Subject: [NMusers] NM7.2 SAEM with LIKE

Dear All,

With NM7.2/SAEM, the root.phi output file contains the conditional means (and 
variances) of the individual phi's (mu(i)+eta(i)) - which is great!   I found 
that the these values can be different from what you get from a $TABLE  in more 
classical way:

$PRED
MU_1=THETA(1)
K=MU_1+ETA(1)
...
$TABLE K ...

For a some subjects, these are very different, and the ones coming from the 
$TABLE are clearly less optimal, yielding a bad individual fit, as judged from 
IPRE calculated in $PRED.

I guess  one part of the solution is using CPRED and CPREDI - but unfortunately 
I cannot use these as I (have to)  use LIKELIHOOD in $EST (M3 method for 
BLQ-data).


Kind regards,

Filip De Ridder
Janssen R&D, Beerse, Belgium.



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