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Email: j.h.pro...@rug.nl
- Original Message - From: "Standing Joseph (GREAT ORMOND
STREET HOSPITAL FOR CHILDREN NHS FOUNDATION TRUST)"
To: "J.H.Proost" ; "Matt Hutmacher"
; "'Nick Holford'"
; "'n
el. 31-50 363 3292
fax 31-50 363 3247
Email: j.h.pro...@rug.nl
- Original Message -
From: "Standing Joseph (GREAT ORMOND STREET HOSPITAL FOR CHILDREN NHS
FOUNDATION TRUST)"
To: "J.H.Proost" ; "Matt Hutmacher"
; "'Nick Holford'" ;
"&#
;Nick Holford'; 'nmusers'
Subject: RE: [NMusers] Time-varing covariate and renal function as a covariate
Dear Joe,
You bring a new covariate, age, in the discussion. Welcome! This also
introduces a new complexity: the correlation between age and weight. But again,
the approach advoca
s...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] Namens
Matt Hutmacher
Verzonden: September 3, 2013 7:00 PM
Aan: 'Nick Holford'; 'nmusers'
Onderwerp: RE: [NMusers] Time-varing covariate and renal function as a covariate
Hello Nick, Hans
Thanks for the replies an
or healthy volunteers and obese patients? And if the drug
> works, should at what point should we treat the obese patients as healthy
> volunteers - or would just using WT and CLCR take care of it?.
>
> Best regards,
> Matt
>
> -Original Message-
> From: owner-
--Original Message-
> From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com]
> On
> Behalf Of Nick Holford
> Sent: Monday, September 02, 2013 12:16
> To: 'nmusers'
> Subject: Re: [NMusers] Time-varing covariate and renal function as a
> covariat
.@globomaxnm.com] Namens
Matt Hutmacher
Verzonden: September 3, 2013 7:00 PM
Aan: 'Nick Holford'; 'nmusers'
Onderwerp: RE: [NMusers] Time-varing covariate and renal function as a covariate
Hello Nick, Hans
Thanks for the replies and sorry for being so vague. I wanted t
Behalf Of
Matt Hutmacher [matt.hutmac...@a2pg.com]
Sent: 03 September 2013 18:00
To: 'Nick Holford'; 'nmusers'
Subject: RE: [NMusers] Time-varing covariate and renal function as a covariate
Hello Nick, Hans
Thanks for the replies and sorry for being so vague. I wanted to get
.@globomaxnm.com] On
Behalf Of Nick Holford
Sent: Monday, September 02, 2013 12:16
To: 'nmusers'
Subject: Re: [NMusers] Time-varing covariate and renal function as a
covariate
Matt,
Thanks for your interest in this question. Hans and I have differing
approaches for including 'renal
Matt,
Thanks for your interest in this question. Hans and I have differing
approaches for including 'renal function' but I think we agree on
'size'. Our differences of approach to 'renal function' are not very
important for those who understand the biology and pharmacology. But its
different
Dear Matt,
I'm not quite sure that I fully understand your question. I would say that a
changing renal function and a changing weight over time can be handled as
described earlier by Nick Holford, or by the modified approach I suggested. An
important point is how to express renal function.
Ni
Nick,
Thanks for the suggestions.
Stuart supplied another example in NONMEM Uses Guide VI (PREDPP) p. 57:
A value of 2 indicates that the event is neither an observation nor
dose event. The corresponding event is referred to as an other-type
event. Examples of other-type events are: the time a
Alison,
I think the problem with the on-line help arose because a relatively
inexperienced nmuser was searching through the help to find some clues
on what to do. The use of the "physiological variable changes"
expression to describe an EVID=2 event seems to have been interpreted
as somethin
Alison Boeckmann
Sent: 27 August 2013 22:46
To: siwei Dai; ajbf
Cc: nmusers@globomaxnm.com
Subject: Re: [NMusers] Time-varing covariate
There have been a number of interesting comments.
The original issue has to do with the way this is described in on-line help
for EVID.
Would it be more clear if thi
There have been a number of interesting comments.
The original issue has to do with the way this is described in on-line
help for EVID.
Would it be more clear if this said:
a physiological variable changes (and this is at a different time
than any observation or dose event).
Or can someone s
rch/researchgroups/pharmacometrics/>
www.farmbio.uu.se/research/researchgroups/pharmacometrics/
From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On
Behalf Of siwei Dai
Sent: 26 August 2013 18:13
To: nmusers@globomaxnm.com
Subject: Re: [NMusers] Time-varing covariate
Hi, Sebastien, Bill, Nick, Leonid, Mats and Hans:
Thank you all very much for the suggestions and nice discussions. I enjoyed
to learn from this thread and I am very clear how this should be handled
now. I believe this thread also provided a nice record for other new folks
like me to learn from.
Dear Nick,
In your reply to Siwei, you proposed the following code:
$PK
; CL=(CLnon-renal*f(age) + CLrenal*f(renal_function)) * allometric WT
CL=(THETA(1)*EXP(THETA(2)*(AGE-40)) + THETA(3)*CLCR/100)*(WT/70)**0.75
I would like to make a comment on the coding of the renal function. If CLCR
is
gt; Leonid
> Original email:
> -
> From: Mats Karlsson mats.karls...@farmbio.uu.se
> Date: Sat, 24 Aug 2013 10:02:00 +0200
> To: william.s.den...@pfizer.com, ellen.siwei...@gmail.com,
> nmusers@globomaxnm.com
> Subject: RE: [NMusers] Time-varing covariate
>
>
> Dear
...@gmail.com,
nmusers@globomaxnm.com
Subject: RE: [NMusers] Time-varing covariate
Dear Bill and Siwei,
Although the thought in Bill's reply is right, I think there is an error in
the code. NONMEM by default uses the present values to update from the
previous time.
Further, it is possible
obomaxnm.com] On
Behalf Of Denney, William S.
Sent: 23 August 2013 20:09
To: siwei Dai; nmusers@globomaxnm.com
Subject: RE: [NMusers] Time-varing covariate
Hi Siwei,
If you are using an algebraic model (i.e. no differential equations), then
you can simply include it in your equation:
e.g. assu
Hi Siwei,
If you are using an algebraic model (i.e. no differential equations), then you
can simply include it in your equation:
e.g. assuming that SBP is systolic blood pressure in your original data set:
EFF=THETA(1)+SBP*THETA(2)
If you have a differential equation model and you want the tim
Hi, Nick:
Thank you for the response.
I meant to say EVID = 2 but not '4', my mistake. In the user guide, it
says:
2Other-type event. The DV data item is ignored. Dose-related
data items must be zero. Examples of other-type events are: A
compartment is turned on or off
Siwei,
I don't know why you think this complicated. Suppose you have age (AGE)
as a covariate. This must of course be a time varying covariate if it is
intended to be the current age. And you might have weight (WT) or
creatinine clearance (CLCR) as covariates which typically change with
time.
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