Dear Kyun, 
  in the current I only have diagonal element

  usually I only used distribution of fixed-effects parameters to account for 
the uncertainty of this level (trial level), then for each sampled 
fixed-effects parameter, I would just use the estimated ETA to simulate 
patients within each trial. 
I never practice like you suggested, i.e. using the var-cov matrix to sample 
Omega/Sigma too 
 and I realize that I don't have a strong rationale for opposing this approach
 so I wonder if others would share some insights into this 




________________________________
From: "kyunseop....@gmail.com" <kyunseop....@gmail.com>
To: Ethan Wu <ethan.w...@yahoo.com>
Sent: Thursday, February 26, 2009 8:19:06 PM
Subject: RE: [NMusers] var-cov matrix issue?

Dear Ethan,

If your model has only diagonal elements in OMEGA matrix, you don't need to
care about the following - positive definiteness of OMEGA matrix during
simulation.

If you use VAR-COV output of NONMEM for the simulation, it means you
generate THETAs, OMEGA matrix and SIGMA matrix from the MVN distribution of
VAR-COV matrix.

OMEGA and SIGMA matrix are always positive definite in nature.

However, if you generate full-block OMEGA matrix using MVN (multi-variate
normal) of VAR-COV matrix,
many of generated OMEGA matrix will not be positive definite.

One way to avoid this is test positive definiteness and discard in-adequate
ones.

This may help you.

Regards,

Kyun Seop Bae MD PhD



________________________________

From: Ethan Wu [mailto:ethan.w...@yahoo.com] 
Sent: Thursday, February 26, 2009 4:05 AM
To: kyunseop....@gmail.com
Cc: nmusers@globomaxnm.com
Subject: Re: [NMusers] var-cov matrix issue?


Dear Kyun, 
thanks for your help.
I don't know if I understand this one 
"Some caution is necessary to simulate omega matrix that is alwasy positive
definite. "
Could you explain a bit more?


________________________________

From: "kyunseop....@gmail.com" <kyunseop....@gmail.com>
To: Ethan Wu <ethan.w...@yahoo.com>
Cc: nmusers@globomaxnm.com
Sent: Tuesday, February 24, 2009 3:07:30 PM
Subject: RE: [NMusers] var-cov matrix issue?

Hi, Ethan,

I think your question can be reduced whether pseudo-inverse matrix can be
used instead of inverse matrix. 
I do not know quite different cases, but I suppose it can be used.

To be more adequate answer in your context, 
MATRIX=R option could be more appropriate,
if you use VAR-COV matrix output for simulation under normal distribution
assumtion,

If your data supports normal distribution assumption, MATRIX=R option will
not give much difference in SEs.
Default VAR-COV output in NONMEM is a kind of sandwich estimate, which is
thought to be more robust (a little larger) than inverse Fisher's
information matrix (given MATRIX=R option).

Some caution is necessary to simulate omega matrix that is alwasy positive
definite. 

This may help you.

Thanks,

Kyun Seop Bae MD PhD

Email: kyunseop....@gmail.com




________________________________

From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On
Behalf Of Ethan Wu
Sent: Tuesday, February 24, 2009 11:09 AM
To: justin.wilk...@novartis.com
Cc: nmusers@globomaxnm.com
Subject: Re: [NMusers] var-cov matrix issue?


Hi Justin, only ETA was estimated with high SE
but, again, I guess it came back to the question: how trustful it is if such
error message appears


________________________________

From: "justin.wilk...@novartis.com" <justin.wilk...@novartis.com>
To: ethan.w...@yahoo.com
Sent: Tuesday, February 24, 2009 1:19:17 PM
Subject: Fw: [NMusers] var-cov matrix issue?


Dear Ethan, 

Algorithmically singular matrices are often a sign that that your model is
ill-conditioned in some way; I would be careful in how I used the
variance-covariance matrix in this scenario, and especially for simulation.
Are there any parameters that are being estimated with particularly high
standard errors? This might suggest overparamaterization. 

Not sure how helpful this is! 

Best 
Justin

Justin Wilkins
Senior Modeler
Modeling & Simulation (Pharmacology)
CHBS, WSJ-027.6.076
Novartis Pharma AG
Lichtstrasse 35
CH-4056 Basel
Switzerland
Phone: +41 61 324 6549
Fax: +41 61 324 3039
Cell: +41 76 561 0949
Email : justin.wilk...@novartis.com <mailto:justin.wilk...@novartis.com>



----- Forwarded by Justin Wilkins/PH/Novartis on 2009/02/24 07:15 PM ----- 

Ethan Wu <ethan.w...@yahoo.com> 
Sent by: owner-nmus...@globomaxnm.com 

2009/02/24 07:12 PM 

    
To
    nmusers@globomaxnm.com 
cc
    
Subject
    [NMusers] var-cov matrix issue?    

        




Dear all, 
I recently encounter this error message (below). My objective was to use
nonmem var-cov output  for approximation of distribution of parameters for
performing a simulation. 
if such error message occur, is the var-cov matrix  still OK to use? 
-- I know that better way to figure out distribution of parameters is to do
bootstrap, but given limited time I have..... 
  
thanks 
  
"0MINIMIZATION SUCCESSFUL
NO. OF FUNCTION EVALUATIONS USED:  331
NO. OF SIG. DIGITS IN FINAL EST.:  3.3 
ETABAR IS THE ARITHMETIC MEAN OF THE ETA-ESTIMATES,
AND THE P-VALUE IS GIVEN FOR THE NULL HYPOTHESIS THAT THE TRUE MEAN IS 0.. 
ETABAR:  0.11E-02
SE:      0.23E-01 
P VAL.:  0.96E+00
0S MATRIX ALGORITHMICALLY SINGULAR
0S MATRIX IS OUTPUT
0INVERSE COVARIANCE MATRIX SET TO RS*R, WHERE S* IS A PSEUDO INVERSE OF S
1
" 


      

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