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Re: Prediction with parameter estimates on new data

From: Lib Gray <libgray3827>
Date: Wed, 19 Mar 2014 10:32:54 -0500

That is good to know, but in this case I want to use everything for
parameter estimation, and then get predictions using those parameter
estimates on a subset of the data. Is there a way to use EVID data item for
that?


On Wed, Mar 19, 2014 at 10:29 AM, Mats Karlsson <Mats.Karlsson
> wrote:

> 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
> prediction by EVID=2 (other type event). That way they will not contribute
> to parameter estimation, but you will get predictions (both population and
> individual).
>
>
>
> Best regards,
>
> Mats
>
>
>
> 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
>
> www.farmbio.uu.se/research/researchgroups/pharmacometrics/
>
>
>
> *From:* owner-nmusers
> *On 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
> prediction with new data. More specifically, I have a K/PD nonlinear mixed
> effects 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 example, 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
> using previous estimates on new data, in this specific way. I am looking
> into using R's deSolve package, since my model contains two differential
> equations, but I wanted to know if there was a more direct way.
>
> Thanks for any help,
>
> Lib Gray
>
>
>
>

Received on Wed Mar 19 2014 - 11:32:54 EDT

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