NONMEM Users Network Archive

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RE: Prediction with parameter estimates on new data

From: Mats Karlsson <Mats.Karlsson>
Date: Wed, 19 Mar 2014 15:29:23 +0000

Dear Lib,

If you use the EVID data item (0 for observations 1 for doses) in your data=
 set, you can denoted the observations for which you want to make a predict=
ion by EVID=2 (other type event). That way they will not contribute to pa=
rameter estimation, but you will get predictions (both population and indiv=

Best regards,

Mats Karlsson, PhD
Professor of Pharmacometrics

Dept of Pharmaceutical Biosciences
Faculty of Pharmacy
Uppsala University
Box 591
75124 Uppsala

Phone: +46 18 4714105
Fax + 46 18 4714003<http://www.farmb=>

From: owner-nmusers
 Behalf Of Lib Gray
Sent: 19 March 2014 15:36
To: nmusers
Subject: [NMusers] Prediction with parameter estimates on new data

Hello NMusers,

I am new to NONMEM, and I am unsure how to use parameter estimates for pred=
iction with new data. More specifically, I have a K/PD nonlinear mixed effe=
cts model developed in NONMEM, and I want to check its predictive power in =
a specific way. The data I've been using has about 500 patients, each with =
multiple dosing (AMT) and effect (DV) measurements. Most patients have many=
 measurements, spanning several months.

What I want to do is use the population estimates (and potentially also the=
 between-subject variability estimates) from fitting the model to my entire=
 data set to generate the predicted effects using only early data (for exam=
ple, the first 3 months). I have the population estimates from fitting the =
model to all data, and I want to generate the model predicted effects using=
 only early effect data (though with all dosing data), so that I can asses =
the model predicted effects for later time points.
I am new to NONMEM, and am unsure if there is a way with NONMEM or PsN of u=
sing previous estimates on new data, in this specific way. I am looking int=
o using R's deSolve package, since my model contains two differential equat=
ions, but I wanted to know if there was a more direct way.
Thanks for any help,
Lib Gray

Received on Wed Mar 19 2014 - 11:29:23 EDT

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