From:"Prins, N.H. (Klaas)"
Subject:[NMusers] EVID data item and beyond Date:Fri, March 8, 2002 10:20 am Dear nm-users, Currently I am working on a study that consisted of 4 different study parts in which several dosing schemes were tested, i.e. 3 schemes of multiple dosing and 1 of continuous infusion. Initially, I created separate data sets for each study part and inserted intermediate time points to get smooth curves when plotting observed and predicted versus time. Using either the MDV (0=observation, 1=missing) or EVID (0=observation, 1=dosing, 2=other/simulation) data item, I managed to get decent fits for each study part. Also combining data from different study parts resulted in succesful NM runs. However, I did not feel satisfied with making more than one dataset and a couple of control streams. Therefore, I set out to put together a single dataset containing data of all study parts. Then, the aim was to flag out the study parts that did not need to be evaluated in specific run, by setting EVID to 2 (other event). In this manner, I created 6 different evaluation schemes and listed them in data items EV1 to EV6. For instance, scheme EV4 was created to evaluate study parts 1 and 4 only, then all records for those parts were set to 0, 1 and 2 (see above) and all other records were set to 2 (flagged as 'other'). The $INPUT control stream read the following: $INPUT ID TIME AMT RATE DV SEX WT PART EV1=DROP EV2=DROP EV3=DROP EV4=EVID EV5=DROP EV6=DROP So, by toggling on and off the EVx=EVID/DROP, I hoped to get my desired evaluation. It did not work since the nm-tran reported for the data records of study parts that were flagged out: THE DV DATA ITEM IS POSITIVE, BUT THE MDV DATA ITEM IS 1 I did not specify a MDV data item, so this must refer to a 'generated MDV'. I do understand this, since for these parts, the observations are read and NM is suprised that it is asked to consider this as a simulation record. Now, after this exhausting problem description, could somebody comment on this issue and provide hints on how to surpass this? Any suggestion is much appreciated. Thanks in advance and have a nice weekend, Klaas Prins Drug Metabolism & Kinetics - Pharmacokinetics Section RH 2143 N.V. Organon PO Box 20 5340 BH Oss The Netherlands tel: +31 412 663884 fax: +31 412 662542 email@example.com -------------------------------------------------------------------- This message, including attached files, may contain confidential information and is intended only for the use by the individual and/or the entity to which it is addressed. Any unauthorized use, dissemination of, or copying of the information contained herein is not allowed and may lead to irreparable harm and damage for which you may be held liable. If you receive this message in error or if it is intended for someone else please notify the sender by returning this e-mail immediately and delete the message. -------------------------------------------------------------------- ******* From: Subject: Date: > The $INPUT control stream read the following: > $INPUT ID TIME AMT RATE DV SEX WT PART EV1=DROP EV2=DROP EV3=DROP EV4=EVID > EV5=DROP EV6=DROP > So, by toggling on and off the EVx=EVID/DROP, I hoped to get my desired > evaluation. > It did not work since the nm-tran reported for the data records of study > parts that were flagged out: > THE DV DATA ITEM IS POSITIVE, BUT THE MDV DATA ITEM IS 1 > I did not specify a MDV data item, so this must refer to a 'generated MDV'. When I have seen this it is a WARNING not an ERROR. NM-TRAN generates the warning but NONMEM should still be able to run and will ignore these records. You can turn off WARNINGS with this record: $WARNINGS NONE if the warning messages interfere with your enjoyment of running NONMEM. You do pay a price by making NONMEM do extra work moving useless data around but that is up to you. I would personally prefer to create sub-sets of data from the one you have that contain just the records you need. I typically do tens or hundreds of runs on a single data set so dont see the point of having the extra data overhead. Nick -- Nick Holford, Divn Pharmacology & Clinical Pharmacology University of Auckland, 85 Park Rd, Private Bag 92019, Auckland, New Zealand email:firstname.lastname@example.org tel:+64(9)373-7599x6730 fax:373-7556 http://www.health.auckland.ac.nz/pharmacology/staff/nholford/