RE: DV simulation problem

From: Vladimir Piotrovskij Date: June 08, 2003 technical Source: cognigencorp.com
From: VPIOTROV@PRDBE.jnj.com Subject: RE: [NMusers] DV simulation problem Date:Sun, 8 Jun 2003 19:46:00 +0200 Toufigh, As Sriram pointed out, if your goal is a predictive check, or if you are interested in concentration prediction intervals (PI), you have to focus on simulated DV, however, IPRE is also of interest as you may want to know which part or PI comes from (estimated) interindividual variability, and which is explained by residual variability. The latter may be surprisingly high, as Sriram mentioned. It seems NONMEM tends to overestimate residual variability, that becomes especially obvious in case of dense data. I am not sure playing with the residual variance is a correct way to solve the problem. I would try to use a sample variance that one can easily obtain from (weighted) individual residuals. It is quite robust since is based on a lot of observations (again if you have dense data). Best regards, Vladimir
Jun 05, 2003 Daniel Corrado DV simulation problem
Jun 06, 2003 Vladimir Piotrovskij RE: DV simulation problem
Jun 06, 2003 Toufigh Gordi RE: DV simulation problem
Jun 07, 2003 Sriram Krishnaswam RE: DV simulation problem
Jun 08, 2003 Vladimir Piotrovskij RE: DV simulation problem
Jun 09, 2003 Alan Xiao RE: DV simulation problem