Modeling average data

From: "Bonate, Peter" - pbonate@ilexonc.com Subject: [NMusers] Modeling average data Date: 2/13/2004 9:19 AM Hi, everyone. I am having trouble how to model a particular problem. It seems quite simple conceptually and is a very simple matter to program in Proc Mixed in SAS, but I can't figure out how to do this in NONMEM. I have repeated measures data taken essentially at steady-state at trough. Essentially every subject is a flat line that varies around some population average. There is no absorption data and no elimination data. What I want to model is the following: DV = Theta(1) + Eta(1) + EPS(1) So that I get an estimate of the population average, the between-subject variability and residual variability. Can someone help me out here and provide me with what the control stream should look like. Thanks, Pete Peter L. Bonate, PhD, FCP Director, Pharmacokinetics ILEX Oncology 4545 Horizon Hill Blvd San Antonio, TX 78229 phone: 210-949-8662 fax: 210-949-8219 email: pbonate@ilexonc.com