] [mailto:[EMAIL PROTECTED] On
Behalf Of Mouksassi Mohamad-Samer
Sent: Friday, June 06, 2008 22:14
To: [EMAIL PROTECTED]; nmusers@globomaxnm.com
Subject: RE: [NMusers] 95% prediction interval and $OMEGA
Hello Kelong,
Did you try to put TRUE=FINAL in the $simulation record.
I suggest also to input you
]; nmusers@globomaxnm.com
Subject: RE: [NMusers] 95% prediction interval and $OMEGA
Hello Kelong,
Did you try to put TRUE=FINAL in the $simulation record.
I suggest also to input you parameters using MSFI
Bests,
Samer
-Original Message-
From: [EMAIL PROTECTED] on behalf of Han
% prediction interval and $OMEGA
Dear NONMEM users,
I am trying to calculate and plot the 95% prediction interval (PI) for a
single-subject multiple-dosing PO dataset by simulating 1000 DV values.
It seems that bigger initial estimate of omega ($OMEGA) leads to wider 95%
prediction band. I understand
Dear NONMEM users,
I am trying to calculate and plot the 95% prediction interval (PI) for a
single-subject multiple-dosing PO dataset by simulating 1000 DV values.
It seems that bigger initial estimate of omega ($OMEGA) leads to wider 95%
prediction band. I understand that OMEGA directs the
Kelong,
If you are really and truly only interested in a single subject then the
only source of random variability will be the residual error (ERR). I
would therefore use the final estimate of OMEGA you obtained from
fitting the single subject in order to compute the prediction interval.
I
