Try putting a dummy dose of 1 in the first compartment via your data file
records, eg"
 
ID TIME AMT PDK=DV EVID
1   0        1     0           1
for each individual

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From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On
Behalf Of Jing Nie
Sent: Thursday, December 03, 2009 9:29 AM
To: nmusers@globomaxnm.com
Subject: [NMusers] model dynamic data with $DES subroutine


Dear NMusers,

I have a question I would like your help.  The data I have is only the
dynamic data since we didn't give dose to the animal. I am trying to capture
the nature of disease progression. And the PD  decrease with time. I have
seen people model only the PD data use $PRED subroutine but they use the
explicit equation.But I want to use a differential equation like      dA/dt=
kin(1-dis)-kout*A  while A0=kin/kout. 

When I ran the control stream, the gradient for most of the parameters are
0. And the only parameter estimation I got is the sigma. The output of Y is
0. I guess it's because I don't have dose to compartment(PDK) but I don't
know how should I fix the problem. 
Any suggestion is appreciated!

The control stream I wrote is:

$PROB Demo for turn over PD model
$INPUT ID TIME AMT PDK=DV EVID
$DATA demo.csv IGNORE=#

$ESTIM MAXEVAL=3000 NOABORT PRINT=1
METHOD=COND INTERACTION SIG=5 MSFO=save.msf

$COV MATRIX=S SLOW

$SUBROUTINE ADVAN6 TOL=5

$MODEL
COMP=(PDK)

$PK
KIN=THETA(1)*EXP(ETA(1))
KOUT=THETA(2)
DIS=THETA(3)*EXP(ETA(2))

$DES
DADT(1)=KIN*(1-DIS)-KOUT*A(1)

$ERROR
Y = F + ERR(1)

; Fixed effects
$THETA 174 FIX  ; KIN
$THETA  77 FIX  ; KOUT
$THETA (0,0.28,1) ; AGE_EFFECT_PDK

; Random effects
$OMEGA 0 FIX; BSVKIN_PDK
$OMEGA 0 FIX; BSVDIS_PDK


$SIGMA 0.1


$TABLE ID TIME PDK Y
NOPRINT ONEHEADER FILE=DEMO.fit



And my data looks like:
#ID    TIME    AMT    PDK    EVID
101    4             .        1.49    0
102    4             .        1.58    0
61    8               .        0.57    0
62    8               .        2.03    0
63    8               .       1.58    0
64    8               .       1.52    0
109    12            .       0.71    0
110    12            .       1.18    0
21    12              .       1.25    0



-Jing


 
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