I am conducting a sequential pharmacokinetic-pharmacodynamic model.  The
pharmacokinetic fits look good and I was using an indirect response model.
The PD model is that the drug inhibits clearance of the analyte (PD
response), thus one expects that the response increases with increasing drug
(Model II).  There is a baseline measured (=Kfor/Kcl) and a dummy dose=1
unit given. It seems despite trying various permutations of the model, eta1
seems to be very small and no covariance step is conducted.  The model and
data for the first 3 subjects are reproducted below.  Any assistance would
be appreciated.  Note that since conc (COP) are read in, the model only
requires a single differential equation.  Any insight would be appreciated.

Nishit

$PROBLEM   PD - ADVAN6
$DATA   C:\PDDATA.CSV
$INPUT  ID TIME DV AMT=DOSE COP MDV
; data are subject ID, Time, DV=PD response, Amt (dummy dose of 1 inserted),
COP=plasma conc which drive PD model, MDV
$SUBROUTINES ADVAN6 TOL=6
$MODEL
   COMP=(EFFECT, DEFDOSE, DEFOBS)
 
$PK
   KFOR = THETA(1)
   KCL = THETA(2)*EXP(ETA(1))
   IC50 = THETA(3)
   IMAX = THETA(4)
   F1 = KFOR/KCL
   COEF = IMAX*COP/(IC50+COP)

$DES
   DADT(1) = KFOR-KCL*(1-COEF)*A(1)
$ERROR
     W = F
     Y =  F*EXP(ERR(1))
     IPRED = F
     IRES = DV-IPRED
     IF (W.LE.0.) W=1
     IWRES = IRES/W

$THETA (0,0.3)
$THETA (0, 0.003)
$THETA (0,10)
$THETA (0, 0.3, 1)

$OMEGA 0.01
$SIGMA 0.5

$ESTIMATION METHOD=1 MAXEVAL=5000 PRINT=20
$COVR
$TABLE ID TIME PRED IPRED IRES KFOR KCL IC50 IMAX
    NOPRINT ONEHEADER
    FILE=C:\PD.TAB

1001    0       .       1       0       1
1001    0       98.3    .       0       0
1001    168     90.6    .       122.44  0
1001    840     92.8    .       183.69  0
1002    0       .       1       0       1
1002    0       105.1   .       0       0
1002    840     88.5    .       61.253  0
1002    842     106.7   .       106.8   0
1002    844     122.1   .       116.4   0
1002    1848    129.1   .       121.46  0
1002    1850    160.4   .       212.63  0
1002    1852    157.1   .       231.89  0
1101    0       .       1       0       1
1101    0       68.1    .       0       0
1101    840     88.1    .       0.13884 0
1101    842     105.5   .       0.12987 0
1101    844     108.8   .       0.12147 0
1101    1848    113.3   .       227.79  0
1101    1850    62.6    .       379.54  0
1101    1852    138.7   .       412.18  0

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