Hi Sam,
You can activate a flag from 0 to 1 from a certain timepoint (eg FLA1) and
integrate the auc as follows
Datdt(x)=C*FLA1
Rob
Op 8 nov. 2019 om 19:16 heeft Sam Liao het volgende
geschreven:
Dear nmusers,
I have a question how to reset cumulative AUC in a $DES model, where DADT(4)
Dear Carlos,
You could also use an EVID=2 to do a read-out of a certain compartment.
Cheers,
Rob
-Oorspronkelijk bericht-
Van: owner-nmus...@globomaxnm.com Namens Bill
Denney
Verzonden: woensdag 6 november 2019 16:12
Aan: Carlos ST ; nmusers@globomaxnm.com
Onderwerp: RE: [NMusers] Using
Hi Pieter,
We did a similar analysis recently on the interaction between
ritonavir/darunavir, published in JAC by Stein Schalkwijk
https://academic.oup.com/jac/advance-article-abstract/doi/10.1093/jac/dky567/5304685?redirectedFrom=fulltext
It is hard to separate covariance in inter-individual v
Dear all,
Radboudumc Applied Pharmacometrics Group would like to invite you to the third
edition of our course "Hands-on pharmacometric design and power analysis for
clinical trials". The course is open for those in academia and involved in
pharmacometric research. The course will be in English
Dear all,
We would like to invite you for the Radboudumc applied pharmacometrics Group
course "Hands-on pharmacometric design and power analysis for clinical trials",
for those in academia and involved in pharmacometric research.
Date: May 4th 2018
Time: 10:00 to 17:00h
Location: Radboud Univer
Dear Nick, Hans, Ruben, Max,
Great to hear several approaches and opinions on the use of glomerular
filtration approximations in PK modeling and scaling to body size. Thank you!
I have a hard time ignoring the CKD-EPI equations (with or without cystatin C),
as they are well established and prov
Hi Ruben,
Interesting work, Ruben. One may indeed question the validity of glomerular
filtration rate markers like cystatin C (that is only filtrated and not
actively secreted) to predict PK of drugs that undergo active tubular secretion
in patients with decreased renal function. When glomerula
Dear all,
I am wondering what your thoughts are on the allometric scaling of clearance of
renally extreted drugs, where we have estimations renal function.
Simply scaling the predicted glomerular filtration rate from, for example, the
Cockroft-gault equation seems inappropriate, since weight is
Dear all,
We would like to invite you for the Radboudumc applied pharmacometrics Group
course "Hands-on pharmacometric power analysis for clinical trials", for those
in academia involved in pharmacometric research.
Date: april 14th 2017
Time: 13-17h
Location: Radboud University Medical Center P
Hi Katrin,
You'll have to take the natural logarithm of your DVs
I would change your error block to:
$ERROR
IPRED=LOG(F+1E-16) ; Protection against LOG(0) in case of dosing events etc
Y=IPRED+ERR(1) ; FOR PROPORTIAL ERROR
Cheers!
Rob
Van: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@glo
Hi Jing,
Testing covariates on dispostition of your long acting injectable all depends
on the pharmaceutics. E.g., if you have an intramuscularly injection of a
nano-suspension, you might want to consider a zero order process for the
release of the drug in the systemic circulation and see wheth
Hi all,
I guess that if both drugs are given to the same person, it makes a lot of
sense to perform simultaneous modeling, because of physiology, a lot of
parameters will show covariance. The PK of one drug can therefore partially
explain the PK of the other one (and vice versa).
Cheers,
Rob
Dear Thorsten,
As suggested by other, implementing a time dependent covariate in $DES should
be the way to go. A quick workaround could also be inserting dummy observations
at regular intervals in your dataset e.g. when using ADVAN5.
Just out of scientific curiosity:
Are you investigating total
Dear Navin Goyal,
Thanks for helping us out. It worked! We performed some clinical trial
simulations for probability of target attainment and parameter uncertainty
certainly made a difference.
Sincerely,
Rob
Van: Heine, Rob ter
Verzonden: maandag 11 april 2016 19:48
Aan: Navin Goyal
Onderwerp
Dear all,
I would like to perform a simulation (based on a finished model), incorporating
parameter uncertainty (for all theta’s, eta’s and epsilons) with the $PRIOR
TNPRI option in Nonmem V7.3, using the results of the covariance step as an
input. I am still struggling how to implement this. D
Dear all,
When generating a VPC for a nonparametric ($NONPARAMETRIC subroutine on) model,
I get the following error message from NONMEM 7.3.0 (installed on OSX 10.10.5,
PsN 4.4.8), which doesn't occur with creating a VPC for a "normal" parametric
model.
> “ #TERE:
> 0ERROR IN READING FILE : FI
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