BLQ method M3 using F_FLAG

From: Nele Kaessner Date: April 20, 2010 technical Source: cognigen.com
Dear all, I am trying to use the method M3 for including BLQ observation in the estimation process in NONMEM. I'm using version VI level 1.0 with PsN. I have tried to implement the coding as presented in Ahn et al (J Pharmacokinet Pharmacodyn 2008, 35:401-421), using the F_FLAG variable and a separate PHI1.for file (as in the publication). I have several questions: can I lave out the TRANS routine from $SUBROUTINE (this is how it's presented in the paper)? I get the message that NUMERICAL is required with LAPLACIAN. Is it okay to include this here? I would like to use a combination of additive and proportional error model, but I'm not sure how to implement this (paper describes either additive or proportional, not both, and I'm not exactly sure what to do with SIG and how to incorporate this for VECTRA(1)) I've tried the code below, but I'm sure there are errors :-) Finally, with the code below, I get the error message: "ERROR IN CLIK WITH INDIVIDUAL 1 ID=0.21000100E+06 CONDITIONAL LIKELIHOOD FOR SOME OBSERVATION ESTIMATED TO BE NEGLIGIBLE" What does this mean? The NONMEM code and a fraction of the dataset is presented below. Any help to get this to run would be highly appreciated. Best Nele NONMEM code: $PROBLEM xyz $INPUT ID OID STDY PER TRT=DROP GRP DOSE NTIM TIME TAD MDV DV SEX AGE WT AMT RATE EVID CMT TYPE $DATA BLQ_dataset_16-Apr-2010.prn IGNORE=# $SUBROUTINES ADVAN12 TRANS4 OTHER=../../PHI1.for $PK TVCL=THETA(1) CL=TVCL*EXP(ETA(3)) TVV2=THETA(2) V2=TVV2*EXP(ETA(2)) TVQ3=THETA(3) Q3=TVQ3 TVV3=THETA(4) V3=TVV3 TVQ4=THETA(5) Q4=TVQ4 TVV4=THETA(6) V4=TVV4 TVKA=THETA(7) KA=TVKA*EXP(ETA(1)) TVF1=THETA(8) F1=TVF1*EXP(ETA(4)) TVLAG=THETA(9) ALAG1=TVLAG S2=V2/1000 $ERROR SIG1=THETA(10) SIG2=THETA(11) LOQ% IPRED=F DEL=0 IF (IPRED.EQ.0) DEL=0.0001 VECTRA(1)=(LOQ-IPRED)/SIG2 CUMD=FUNCA(VECTRA) IF(TYPE.EQ.1) THEN F_FLAG=0 Y=F+THETA(11)*SIG2*ERR(1)+THETA(10)*SIG1*F*ERR(1) W=F IRES=DV-IPRED IWRES=IRES/(W+DEL) ENDIF IF(TYPE.EQ.2) THEN F_FLAG=1 Y=CUMD ENDIF ; $THETA (0,13) ; CL (0,17) ; V2 (0,50) ; Q3 (0,100) ; V3 (0,100) ;Q4 (0,100) ;V4 (0,2) ;KA 1 FIX ; F1 (0,0.1) ;ALAG1 (0,0.1) ; prop. error (0,0.1) ; add. error $OMEGA 0.1 ; IIV_KA 0.1 ; IIV_V2 0.1 ; IIV_CL 0.1 ; IIV_F1 ; $SIGMA 1 FIX ; prop.error ; $ESTIMATION METHOD=1 LAPLACIAN NUMERICAL MAXEVAL99 PRINT=5 NOABORT MSFO=msf034 $COV fraction of the dataset (data modifed): #ID,OID,STDY,PER,TRT,GRP,DOSE,NTIM,TIME,TAD,MDV,DV,SEX,AGE,WT,AMT,RATE,EVID,CMT,TYPE 210001,1,1,1,9,1,100,0,0,0,1,0,1,28,86,100,0,1,1,1 210001,1,1,1,9,1,100,0,0,0,1,0,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.042,0.033,0.033,0,0,1,28,86,0,0,0,2,2 210001,1,1,1,9,1,100,0.083,0.083,0.083,0,55,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.133,0.133,0.133,0,136,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.167,0.167,0.167,0,239,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.25,0.25,0.25,0,359,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.2,0.333,0.333,1,0,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.333,0.333,0.333,0,417,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.5,0.5,0.5,0,533,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,0.75,0.75,0.75,0,453,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,1,1,1,0,386,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,2,2,2,0,172,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,3,3.033,3.033,0,147,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,4,4,4,0,116,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,6,6,6,0,67.9,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,8,8,8,0,49.6,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,12,12,12,0,22.8,1,28,86,0,0,0,2,1 210001,1,1,1,9,1,100,18,18,18,0,0,1,28,86,0,0,0,2,2 210001,1,1,1,9,1,100,24,24,24,0,0,1,28,86,0,0,0,2,2 210001,1,1,1,9,1,100,48,48,48,0,0,1,28,86,0,0,0,2,2 210001,1,1,1,9,1,100,72,72,72,0,0,1,28,86,0,0,0,2,2 210001,1,1,1,9,1,100,96,95.917,95.917,0,0,1,28,86,0,0,0,2,2 210008,8,1,1,9,1,100,0,0,0,1,0,1,21,71,100,0,1,1,1 210008,8,1,1,9,1,100,0,0,0,1,0,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.042,0.033,0.033,0,0,1,21,71,0,0,0,2,2 210008,8,1,1,9,1,100,0.083,0.117,0.117,0,110,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.133,0.133,0.133,0,82,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.167,0.167,0.167,0,344,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.2,0.2,0.2,0,397,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.25,0.25,0.25,0,599,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.333,0.333,0.333,0,370,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.5,0.5,0.5,0,368,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,0.75,0.75,0.75,0,318,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,1,1,1,0,258,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,2,2,2,0,279,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,3,3,3,0,170,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,4,4,4,0,131,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,6,6,6,0,70.7,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,8,8,8,0,46.4,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,12,12,12,0,30.3,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,18,18,18,0,25.2,1,21,71,0,0,0,2,1 210008,8,1,1,9,1,100,24,24,24,0,0,1,21,71,0,0,0,2,2 210008,8,1,1,9,1,100,48,48,48,0,0,1,21,71,0,0,0,2,2 210008,8,1,1,9,1,100,72,72,72,0,0,1,21,71,0,0,0,2,2 210008,8,1,1,9,1,100,96,96,96,0,0,1,21,71,0,0,0,2,2 ______________________________________________________________ Dr. Nele Kner Pharmacometrics -- Modeling and Simulation Nycomed GmbH Byk-Gulden-Str. 2 D-78467 Konstanz, Germany Fon: (+49) 7531 / 84 - 4759 Fax: (+49) 7531 / 84 - 94759 mailto: nele.kaessner http://www.nycomed.com County Court: Freiburg, Commercial Register HRB 701257 Chairman Supervisory Board: Charles Depasse Management Board: Stefan Brinkmann, Dr. Frederik Bendiksen, Gilbert Rademacher, Dr. Rainer Wiartalla ---------------------------------------------------------------------- Proprietary or confidential information belonging to Nycomed Group may be contained in this message. 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Apr 20, 2010 Nele Kaessner BLQ method M3 using F_FLAG
Apr 20, 2010 Nele . Kaessner BLQ method M3 using F_FLAG
Apr 20, 2010 Alindauer-research Re: BLQ method M3 using F_FLAG