RE: Modeling concentration data with imprecise sampling time

From: Janet R. Wade Date: June 03, 2011 technical Source: mail-archive.com
Dear Michael I think you might want to use TSCALE (can also be written as XSCALE). This PREDPP parameter lets you scale time, and you can also add an eta (should you wish). The parameter is described in Guide VIII (Feb 2010). With appropriate IF statements you should be able to scale the time around the 1 hr time point only. Kind regards Janet
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From: [email protected] [mailto:[email protected]] On Behalf Of [email protected] Sent: 02 June 2011 17:45 To: [email protected] Subject: [NMusers] Modeling concentration data with imprecise sampling time All: I have a data set following a constant rate 1-hour infusion where the time of 1-hour sample is imprecise. In some cases the "1-hr" sample was taken prior to infusion termination as it was intended; however, in others it was quite apparently take after the infusion ended. I'm thinking of modeling with the time of the "1-hr" sample as a "theta". Does anyone have a NONMEM coding example showing how to do this? Any other suggestions as to how to handle this would be appreciated as well. Thanks, Michael
Jun 02, 2011 Mdkzone Modeling concentration data with imprecise sampling time
Jun 02, 2011 Matt Fidler RE: Modeling concentration data with imprecise sampling time
Jun 02, 2011 Leonid Gibiansky Re: Modeling concentration data with imprecise sampling time
Jun 02, 2011 Bill Denney RE: Modeling concentration data with imprecise sampling time
Jun 02, 2011 Mark Sale RE: Modeling concentration data with imprecise sampling time
Jun 03, 2011 Janet R. Wade RE: Modeling concentration data with imprecise sampling time
Jun 03, 2011 Leonid Gibiansky Re: Modeling concentration data with imprecise sampling time