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[NMusers] RE: Estimation of ke0 from raw data

From: Lommerse, JPM (Jos) <"Lommerse,>
Date: Sat, 5 Sep 2015 20:44:35 +0200

Dear Samer,

Thank you for the reference.
However, the method of Fuseau assumes
that a mathematical description for
the PK curve is available.

I would like to do without such a PK description
and directly use the PK observations, e.g. applying
linear interpolation between the PK data points.
Would that be feasible?

Thanks, Jos

From: Samer Mouksassi [mailto:Samer.Mouksassi_at_certara.com]
Sent: Saturday, September 05, 2015 8:34 PM
To: Lommerse, JPM (Jos); nmusers_at_globomaxnm.com
Subject: RE: Estimation of ke0 from raw data


Dear Jos,
Please have a look at the algorithm detailed in the appendix of this publication:
Fuseau E, Sheiner LB.
Simultaneous modeling of pharmacokinetics and pharmacodynamics with a nonparametric pharmacodynamic model.
Clin Pharmacol Ther. 1984 Jun;35(6):733-41.
Regards,
Samer


From: owner-nmusers_at_globomaxnm.com<mailto:owner-nmusers_at_globomaxnm.com> [mailto:owner-nmusers_at_globomaxnm.com] On Behalf Of Lommerse, JPM (Jos)
Sent: Saturday, September 5, 2015 1:44 PM
To: nmusers_at_globomaxnm.com<mailto:nmusers_at_globomaxnm.com>
Subject: [NMusers] Estimation of ke0 from raw data

Hi,

I have a data set containing PK concentrations and PD effect.
When plotting PD as a function of PD a clear anti-clockwise hysteresis
plot appears.
I would like to get a (rough) estimate of the PD time delay w.r.t. the PK without
using a compartmental description for the observed PK, even not using
a polynomal function that fits the PK. The assumption I make is that
all PD delay can be explained by the delay through an effect compartment.
I am wondering if methods exist that solely use the raw data to
calculate such time delays.

Thank you for any comment/suggestion,

Jos

Jos Lommerse
Modeler Consultant
Quantitative Solutions BV
Molenweg 79
5349 AC Oss
The Netherlands
jlommerse_at_wequantify.com<mailto:jlommerse_at_wequantify.com>
+31 412 211102



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Received on Sat Sep 05 2015 - 14:44:35 EDT

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