RE: Predict AUC based on trough concentrations

From: Sam Liao Date: February 17, 2010 technical Source: mail-archive.com
Dear Yamin: This is caused by the 560 time points that exceeded the max limit of observations. For SIZE_big, the limit is 500 (see the partial codes below for nm7). You need to change NO=500 to something bigger. Sam Liao Pharmax Research ============================================================================ ========== ! NO: MAX NO. OF OBSERVATION RECORDS / INDIVIDUAL RECORD ! IF NO IS CHANGED, ALSO RECOMPILE NM-TRAN, NM-TRAN LIBRARY PARAMETER (NO=500)! TL 4/22/09
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From: [email protected] [mailto:[email protected]] On Behalf Of Hang, Yaming Sent: Wednesday, February 17, 2010 10:23 AM To: [email protected] Subject: [NMusers] Predict AUC based on trough concentrations Dear NONMEM Users, I have a study where I'd like to predict AUC based on 2~3 trough concentrations. There are about 500 subjects and I intend to predict drug concentration for 560 time points for each subject (10 time points/day * 56 days). The EBE for model parameters for each individual have been generated and they will be fed into NONMEM for calculation of drug concentrations. The following is the relevant NONMEM code: $INPUT ID DOSE=DROP DAYN TIME AMT DV EVID MDV ADDL II CONC CLI V2I Q3I V3I Q4I V4I KAI F1I ALGI $SUBROUTINES ADVAN12 TRANS4 $PK CL=CLI V2=V2I KA=KAI F1=F1I Q3=Q3I V3=V3I Q4=Q4I V4=V4I ALAG1=ALGI S2=V2I*624.709/1E6 $ERROR IPRED=F Y=F $SIMULATION (26730517) ONLYSIMULATION SUBPROBLEMS=1 But I get error message like 0WARNING: MAXIMUM NUMBER OF THETA'S PLUS VARIANCE COMPONENTS EXCEEDS MAXIMUM NUMBER OF PARAMETERS THAT CAN BE ESTIMATED. SEE INSTALLATION GUIDE I've increased LTH to 60 in file SIZES, LVR has a value of 30, but still encounter this error message. Does anybody have done similar thing in the past? What's likely to be the true issue here? Your suggestion will be greatly appreciated. Yaming Notice: This e-mail message, together with any attachments, contains information of Merck & Co., Inc. (One Merck Drive, Whitehouse Station, New Jersey, USA 08889), and/or its affiliates Direct contact information for affiliates is available at http://www.merck.com/contact/contacts.html) that may be confidential, proprietary copyrighted and/or legally privileged. It is intended solely for the use of the individual or entity named on this message. If you are not the intended recipient, and have received this message in error, please notify us immediately by reply e-mail and then delete it from your system.
Feb 17, 2010 Yaming Hang Predict AUC based on trough concentrations
Feb 17, 2010 Sam Liao RE: Predict AUC based on trough concentrations
Feb 18, 2010 Leonid Gibiansky Re: Predict AUC based on trough concentrations
Feb 18, 2010 Yaming Hang RE: Predict AUC based on trough concentrations