Hello Douglas:
The off-diagonals of ETA(4, XXX) should be zero, as the variance-covariance of 
etas (phc) is the inverse of the information matrix that is calculated as:

Ey(2nd derivative partial -log posterior density of individual wrt partial 
etax,etay))

Specifically,

-log(posterior density) = 
[(y-f)^2/sigma^2*exp(-2eta4)+2*log(sigma*exp(eta4))+eta'*OMEGA-1eta]/2

Ey(2nd derivative partial posterior density of individual wrt partial eta4,etax 
(not 4)))
= Ey( eta4*partial f wrt partial etax )*(y-f)/sigma^2*exp(-2eta4) + 
omega_inveta4,etax)

Given that
Ey(y-f)=0
And off-diagonals of omega are 0,

Then
Ey(2nd derivative partial posterior density of individual wrt partial eta4,etax 
(not 4)))=0


Robert J. Bauer, Ph.D.
Senior Director
Pharmacometrics R&D
ICON Early Phase
731 Arbor way, suite 100
Blue Bell, PA 19422
Office: (215) 616-6428
Mobile: (925) 286-0769
robert.ba...@iconplc.com<mailto:robert.ba...@iconplc.com>
www.iconplc.com<http://www.iconplc.com/>

From: owner-nmus...@globomaxnm.com <owner-nmus...@globomaxnm.com> On Behalf Of 
Eleveld, DJ
Sent: Saturday, February 1, 2025 2:23 AM
To: nonmem usersgroup <nmusers@globomaxnm.com>
Subject: [EXTERNAL] [NMusers] Question about ETA on residual error

Hi All,
I am having trouble understanding an aspect of NONMEM FOCEI estimation and I 
didn't find anything in the documentation to get me started.
When I add an ETA() on residual error everything estimates as I expect. I call 
this "composite error model", I dont know if there is another terminology. But, 
looking at the the PHI file all of the off-diagonal ETC() associated with the 
ETA() are all zero. I don't know why NONMEM thinks these must be uncorrelated.
If something special is being done in this case then:
1) how is this detected? I suppose the gradients of IPRED vs ETA() would give a 
hint.
2) what is being done? Is it doing the posthoc phase twice? Or is it possible 
to indicate to the posthoc estimate code to have zeros in ETC()?
As an example:
$PROB THEOPHYLLINE POPULATION DATA
$INPUT ID DOSE=AMT TIME CP=DV WT
$DATA THEOPP
$SUBROUTINES ADVAN2
$PK
CALLFL=1
KA=THETA(1)+ETA(1)
K=THETA(2)+ETA(2)
CL=THETA(3)*WT+ETA(3)
SC=CL/K/WT
$THETA (.1,3,5) (.008,.08,.5) (.004,.04,.9)
$OMEGA 1 1 1 1
$SIGMA .4
$ERROR
Y=F+EPS(1)*EXP(ETA(4))
$ESTM SIG=3 MAX=9000 METHOD=1 INTERACT SORT NOABORT POSTHOC PRINT=1

When running this, then in the PHI file has:

TABLE NO. 1: First Order Conditional Estimation with Interaction: Problem=1 
Subproblem=0 Superproblem1=0 Iteration1=0 Superproblem2=0 Iteration2=0
SUBJECT_NO ID ETA(1) ETA(2) ETA(3) ETA(4) ETC(1,1) ETC(2,1) ETC(2,2) ETC(3,1) 
ETC(3,2) ETC(3,3) ETC(4,1) ETC(4,2) ETC(4,3) ETC(4,4) OBJ
1 1 -3.94107E-01 -1.14325E-02 -1.17881E+00 2.58616E-01 4.90380E-02 -7.58020E-04 
5.58386E-05 -5.71202E-03 9.37606E-04 2.12825E-02 0.00000E+00 0.00000E+00 
0.00000E+00 3.57535E-02 22.616364023850441
2 2 1.58715E-01 2.88530E-03 7.78218E-02 3.74587E-01 1.55438E-01 -1.16001E-03 
6.89000E-05 3.53243E-03 1.34549E-03 4.87804E-02 0.00000E+00 0.00000E+00 
0.00000E+00 3.57535E-02 17.502311674928425
...

As you can see the off-diagonals for ETA(4, XXX) are all zero.

warm regards,

Douglas Eleveld


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