; Indeed, maybe more work than you wish 😉, but the functionality is all
> there today. All you need to do is three simeval commands per model
> (without IGNORE, IGNORE(variable A) and IGNORE(variable B).
>
>
>
> Best regards,
>
> Mats
>
>
>
> *From:* Matts Kåged
-nmus...@globomaxnm.com *On
> Behalf Of *Stephen Duffull
> *Sent:* den 10 oktober 2022 21:56
> *To:* Jeroen Elassaiss-Schaap (PD-value)
> *Cc:* Matts Kågedal ; nmusers@globomaxnm.com
> *Subject:* RE: [NMusers] OFV by endpoint of joint models?
>
>
>
> HI Jeroen
>
>
> > www.pharmetheus.com
> >
> > Phone, Office: +46 (0)18 513 328
> >
> > Uppsala Science Park, Dag Hammarskjölds väg 36B
> > SE-752 37 Uppsala, Sweden
> >
> >
> >
> >
> > On 10 Oct 2022, at 17:02, Matthew Fidler
> wrote:
> >
Hi all,
I have a question related to the objective function value when multiple
endpoints are modelled jointly. Specifically I would like to know if a
change in in OFV between models is driven primarily by one of the endpoints
or if both contributes to the change, or maybe they are even driving the
e subject’s last value
> because it has not yet entered $DES at time zero, but integrating forward
> that should not impact the fit (I believe).
>
> Best regards
>
> Jakob
>
>
>
>
> On 6 Jul 2021, at 14:44, Matts Kågedal wrote:
>
> Hi all,
> I have a question r
e would be appreciated.
Matts Kågedal
[image: image.png]
[image: image.png]
Dear modelers,
Working on a model where the observations are bound between 0 and 100.
Using logit transformation in the model to account for this (I dont
transform the data).
Would like to assess the model based on a VPC.
Since dosing is per the physicians decision based on the observed response,
Hi all,
Anyone know if it is possible to access PRED from within the model while it
is running without adding extra code?
Best,
Matts Kagedal
Hi all,
Would any one be willing to share a nonmem control stream where mixed model
repeated measures (MMRM) is implemented.
Best,
Matts Kagedal
any
improvement with a mixture model. Before you reject your original model I
would therefore also evaluate it by simulation and re-estimation. I think
it is quite possible that you will retreive a similar pattern in the
posthocs even when you simulate based on a normal distribution.
Best,
Matts
Hi nonmem users!
I have troubles explaining to statisticians (and perhaps to myself) why it
can be OK to model data where the dose is adjusted based on the dependent
variable, and wonder if I could get some help.
This is a very relevant issue when planing for adaptive designs where the
dose is be
Hi all,
Creation of VPCs is a way to assess if simulated data generated by the
model is compatible with observed data.
VPCs are usually based on parameter point estimates of the model. Sometimes
parameter uncertainty is also accounted for in the generation of VPCs
(PPCs) where each simulated repli
Hi all
I got a couple of good responses. Posting the explanation I got from VINEET
GOTI on how to handle a long ID-variable that gets trunkated in the output
tables. (+ Changing subject header so It can be found when searching).
Matts Kagedal
Dear Matts,
>
>
> You need to set the format in s
Dear all,
I have a very long ID-variable and it gets trunkated in the output tables.
In the input data the ID variable may take the following value: 2783420001
In the output tables this ID is shown as 278342
How should I specify the format to output all the digits correctly?
Best,
Matts Kag
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