[NMusers] "ERROR IN LSODA: CODE -1"

2011-09-21 Thread nonmem
Hello NONMEM Users, What is "ERROR IN LSODA: CODE -1"? Is there a list of explaned error codes somewhere? Thank you! Pavel

RE: [NMusers] analysis of non-positive DV

2011-09-21 Thread Xiao, Alan
try an additive IIV and/or RV, depending on your MOA and measurement error pattern. -- Confidentiality Notice: This message is private and may contain confidential and proprietary information. If you have received this messa

RE: [NMusers] analysis of non-positive DV

2011-09-21 Thread Ken Kowalski
Svetlana, Can you clarify your model a bit more in terms of what is a parameter and what is a covariate? You indicated that the DV is change from baseline. If so, why do you have TBAS in the model? Is DV = TEFF - TBAS? If so, it seems that your model should be written as: DEFF = (TSLP*CP)**TA

Re: [NMusers] analysis of non-positive DV

2011-09-21 Thread Leonid Gibiansky
Svetlana, The answer depends on whether you would like to allow your effect to be negative or not. If yes, you need to rewrite the model so that the model allows negative predictions, for example, EFF = TBAS + TSLP*CP**TALP where TSLP is allowed to be negative. If not, then you can use the

RE: [NMusers] analysis of non-positive DV

2011-09-21 Thread Bill Bachman
You can do it that way, but you are throwing away data (the baseline effect). Better to model baseline and effect. May prevent negative values as well. -Original Message- From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On Behalf Of Vinogradova Svetlana Sent: Wed

Re: [NMusers] analysis of non-positive DV

2011-09-21 Thread Sebastien Bihorel
Have a look at those two references: J Pharmacokinet Pharmacodyn. 2009 Oct;36(5):381-405. Epub 2009 Aug 21. Methods of utilizing baseline values for indirect response models. Woo S, Pawaskar D, Jusko WJ. J Pharmacokinet Pharmacodyn. 2008 Jun;35(3):269-83. Epub 2008 Apr 30. Approaches to handli

[NMusers] analysis of non-positive DV

2011-09-21 Thread Vinogradova Svetlana
Dear NONMEM users, I'm analyzing a dataset of 4 patients, there are 2 types of observations for each patient - vehicle (say baseline) and dose (treatment). We want to analyze our dataset in terms of (treatment-baseline). So I've modified my dataset, and now I have only one "column" of observat