Dear nmusers,
Since Rik Schoemaker's original e-mail a few weeks ago, the code
associated with the NONPARAMETRIC option has been reviewed. There are
problems (bugs) that may reveal themselves when the data set contains
individuals with different active etas. For example, a data set with
some individuals receiving only IV doses while others receive only oral
doses may exhibit this bug. For the individuals receiving only IV
doses, the eta's associated with absorption-related parameter such as
F1, ALAG1, KA will be nonactive. At this time it appears, but it is not
certain, that the bugs will only affect the resulting estimates when the
data set contains individuals with different active etas. Code changes
to address these bugs are being reviewed and tested. Anyone who has a
control stream and data set for which they have applied the
NONPARAMETRIC option is welcome to send these to me ([EMAIL PROTECTED])
for testing with the modified routine. We hope to provide fixes in the
near future.
Tom Ludden
Quoted reply history
________________________________
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Rik Schoemaker
Sent: Wednesday, July 04, 2007 11:02 AM
To: [email protected]
Subject: Re: [NMusers] Nonparametric Modelling
Dear Julie,
Thank you for your comments! Unfortunately the parametric step runs just
fine... :-)
Cheers,
Rik
>>> "Julie ANTIC" <[EMAIL PROTECTED]> 04-07-07 3:48 PM >>>
The nonparametric option will only estimate the distribution of ETA. The
fixed parameters of your model (THETA(1), THETA(2),...,THETA(8)) should
be estimated before the non parametric step with a parametric procedure
($EST...).
By default, if the (parametric) estimation ($EST) step failed, the
nonparametric step is not run. I think, it is your problem because the
UNCONDITIONAL option just permits to run the nonparametric step when the
$EST step has failed.
If I were you, I would try to run the command file without the
$NONPARAMETRIC option, and correct eventuel errors...
I hope it'll help, good luck,
Julie Antic
----- Original Message -----
From: Rik Schoemaker <mailto:[EMAIL PROTECTED]>
To: [email protected]
Sent: Wednesday, July 04, 2007 2:30 PM
Subject: [NMusers] Nonparametric Modelling
Dear all,
I'm trying to implement nonparametric population parameter
estimation in NONMEM VI but I run into the following error message:
NONPARAMETRIC ESTIMATE REQUESTED. BUT NO INDIVIDUAL RECORDS
EXIST WITH DATA MODELED WITH ACTIVE ETA'S
As a result no tables are output at all. However, if I leave out
the
$NONP UNCONDITIONAL
the model runs fine and I do get my tables...
Any clues?
Thanks in advance!
Rik Schoemaker
$PROB PK C1
$INPUT ID TRT TIME NDV DV CMT AMT SS RATE II MDV WT
$DATA DRUG4.NM
$SUBROUTINES ADVAN4 TRANS4
$PK
TABS = THETA(1)*EXP(ETA(1))
KA = 0.692/TABS
S2 = THETA(2)*EXP(ETA(2))
V2 = S2
V3 = THETA(3)*EXP(ETA(3))
CL = THETA(4)*EXP(ETA(4))
Q = THETA(5)*EXP(ETA(5))
ALAG1 = THETA(6)*EXP(ETA(6))
F1 = THETA(7)*EXP(ETA(7))
$ERROR
IPRED = LOG(.025)
W = THETA(8)
IF(F.GT.0) IPRED = LOG(F)
IRES = IPRED-DV
IWRES = IRES/W
Y = IPRED+ERR(1)*W
$THETA 1 15 60 12 15 0.6 0.45 0.3
$OMEGA .1 .1 .1 .1 .1 .1 .1
$SIGMA 1 FIXED
$EST PRINT=1 MAXEVAL 9999 POSTHOC NOABORT METHOD=1
MSFO=msfb1
$NONP UNCONDITIONAL
$COV PRINT=E
$TABLE ID TIME NDV DV CMT AMT SS RATE II MDV WT
IPRED IRES IWRES FILE = SDTAB1
ONEHEADER NOPRINT
$TABLE ID ALAG1 TABS S2 V3 CL Q F1 FILE=PATAB1
ONEHEADER NOPRINT
First few data lines:
1 0 0 . . 1 175000 1 . 12 1 58
1 0 0.05 . . 2 . . . . 1 58
1 0 0.2166666667 . . 2 . . . . 1 58
1 0 0.3833333333 . . 2 . . . . 1 58
1 0 0.55 . . 2 . . . . 1 58
1 0 0.7166666667 . . 2 . . . . 1 58
1 0 0.8833333333 . . 2 . . . . 1 58
1 0 1 1206 7.0950643773 2 . . . . 0 58
1 0 1.05 . . 2 . . . . 1 58
1 0 1.2166666667 . . 2 . . . . 1 58
1 0 1.3833333333 . . 2 . . . . 1 58
1 0 1.55 . . 2 . . . . 1 58
1 0 1.7166666667 . . 2 . . . . 1 58
1 0 1.8833333333 . . 2 . . . . 1 58
1 0 2 1206 7.0950643773 2 . . . . 0 58
1 0 2.05 . . 2 . . . . 1 58
1 0 2.2166666667 . . 2 . . . . 1 58
1 0 2.3833333333 . . 2 . . . . 1 58
1 0 2.55 . . 2 . . . . 1 58
1 0 2.7166666667 . . 2 . . . . 1 58
1 0 2.8833333333 . . 2 . . . . 1 58
1 0 3 975 6.882437471 2 . . . . 0 58
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