Re: NONMEM questions

From: Ping Ji Date: March 21, 2005 technical Source: cognigencorp.com
From: Ping Ji ping.ji@bms.com Subject: Re: [NMusers] NONMEM questions Date: Mon, 21 Mar 2005 09:49:04 -0500 Dear all, Thanks a lot for the quick reply. I truly appreciate it. To start with MAD or POC data only, and use the following control file for both dataset, I can get both minimization successfully. > $PROB MAD > $INPUT C ID AMT RATE TIME DV EVID > $DATA full-data-set-MAD.csv IGNORE=C > $SUBROUTINE ADVAN4 TRANS4 > $PK > > CL=THETA(1)*EXP(ETA(1)) > D1=THETA(2) > > V2=THETA(3)*EXP(ETA(2)) > > Q=THETA(4) > > V3=THETA(5) > > KA=THETA(6)*EXP(ETA(3)) > > > > S2=V2/1000 > S3=V3/1000 > > $THETA (0,20) (0,2) (0,100) (0,4) (0,40) (0,1.5) > $OMEGA 0.1 0.1 0.1 > > > $ERROR > > IPRE=F > Y=F*(1+EPS(1))+EPS(2) > > $SIGMA 0.4 0.5 > $ESTIMATION NOABORT SIG=2 MAX=9999 PRINT=10 METHOD=0 > > $TABLE ID TIME IPRED DV CL KA D1 V2 V3 Q For the two dataset combined, the following control file would work. > $PROB MAD&POC > $INPUT C ID AMT RATE TIME DV EVID TYPE > $DATA full-data-set-1.csv IGNORE=C > $SUBROUTINE ADVAN4 TRANS4 > $PK > > IF (TYPE.EQ.0) THEN > CL=THETA(1)*EXP(ETA(1)) > ELSE > CL=THETA(2)*EXP(ETA(2)) > ENDIF > > D1=THETA(3) > > V2=THETA(4)*EXP(ETA(3)) > > Q=THETA(5) > > V3=THETA(6) > > IF (TYPE.EQ.0) THEN > KA=THETA(7)*EXP(ETA(4)) > ELSE > KA=THETA(8)*EXP(ETA(4)) > ENDIF > > > > S2=V2/1000 > S3=V3/1000 > > $THETA (0,20) ;CL1 1 > $THETA (0, 25) ;CL2 2 > $THETA (0,5) ;D1 3 > $THETA (0,200) ;V2 4 > $THETA (0,20) ;Q 5 > $THETA (0,400) ;V3 6 > $THETA (0,1) ;KA1 7 > $THETA (0,0.75) ;KA2 8 > > $OMEGA 0.3 0.3 0.7 0.7 > > > $ERROR > > IPRE=F > > Y1=F*EXP(EPS(1))+EPS(2) > Y2=F*EXP(EPS(3))+EPS(4) > Q1=0 > Q2=0 > IF (TYPE.EQ.0) Q1=1 > IF (TYPE.EQ.1) Q2=1 > Y=Q1*Y1+Q2*Y2 > > > $SIGMA 0.4 0.5 1 1 > $ESTIMATION NOABORT NSIG=2 MAX=9999 PRINT=10 METHOD=0 > $TABLE ID TIME IPRE DV This is initial step for the fitting. Both would require optimization. I run into difficulties when I move METHOD=0 to 1, can anyone give me some suggestions on this? Thanks a lot. Ping Ji, PHD Clinical Discovery Pharmaceutical Research Institute Bristol-Myers Squibb Princeton, NJ, 08543 _______________________________________________________
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