Development of a QSP Platform to Quantify Benefits of DAAO Inhibition in
Schizophrenia
Sergio Iadevaia, PhD
Scientific Director QSP, Pharmacometrics and Data Analysis at Takeda
Wednesday June 17, 2020, 12:00 to 1:00 pm EDT
Register for free at https://www.rosaandco.com/webinars
Abstract:
Hi Nyein,
Negative concentrations can be expected from simulations if the model
includes additive residual error. I assume that you mean additive and
proportional error when you say "combined error model". If the error
structure does not include additive error, then we'd need to know more.
How
Dear NONMEM users,
I tried to simulate a new dataset by using a previously published pop pk model.
Their model was described by combined error model for residual variability. And
after simulation, I have obtained two negative concentrations. I would like to
know if there is any proper way to
you can treat it as any other value below quantification limit, and
either comment it out (if you do this with other BQLs) or use it (same
as other BQLs)
Leonid
On 6/2/2020 2:13 PM, Nyein Hsu Maung wrote:
Dear NONMEM users,
I tried to simulate a new dataset by using a previously published
Hi Nyein,
Like Bill and Leonid explained, you can decide what to do with the negative
values after the simulation, depending on the goals of the analysis.
Alternatively, within Nonmem model file, you can use ICALL.EQ.4 (simulation
event) to prevent non-negative values being simulated
IF
Hi Nyein,
I agree with Nick that it may be valid to simulate negative concentrations and
that the only reason that we don't observe negative concentrations is because
assay labs censor these values. However, for these negative concentrations to
be reasonable and attributed to assay variation,
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Hi Nyein,
For drug concentrations the additive error model assumes that the background
noise is random with mean zero when the drug concentration is truly zero. In
the real world there is always background noise for measurements which means
that real measurements can appear to be a negative
Hi Nick,
The question was not how to report measurements, but how to deal with
the simulation from the model, that was likely developed on the data set
where BQLs were either ignored or treated as BQLs (e.g., set to 0, set
to BQL/2, treated with M3: in the best case, the exact method can be
Certainly I do not mean "prevent non-negative values".. remove the "non-" in my
note..
-Original Message-
From: Zhang, Liping [JRDUS]
Sent: Tuesday, June 2, 2020 3:57 PM
To: Bill Denney ; Nyein Hsu Maung
; nmusers@globomaxnm.com
Subject: RE: [EXTERNAL] RE: [NMusers] Negative
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