NONMEM Users Network Archive

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Introduction Webinar to Population PK (PKPD) modeling

From: Henning Schmidt <henning.schmidt>
Date: Sun, 24 May 2020 15:15:09 +0200

*Introduction Webinar to Population PK (PKPD) modeling*

Due to the cancellation of the PAGE conference, IntiQuan is providing its
PAGE Population PK/PD modeling workshop as a free webinar.

In contrast to most other PopPK/PD courses the focus is not on NONMEM but
on a general approach on a higher level that works in the same way,
independently if NONMEM or MONOLIX (or another NLME parameter estimation
tool) is used at the back-end.

The major topics covered are:

· A general dataset format that is easy to program and understa=
nd

· Data exploration with graphs and summary tables

· Defining structural model and parameter estimation settings
(including IIV/BSV, covariance, and covariate models)

· NLME parameter estimation in NONMEM and MONOLIX

· Model evaluation based on goodness-of-fit plots and VPCs

· Model simulation

· Reporting

The main working environment during the webinar will be R.

*Target audience*

The webinar is intended for people who

· have a basic knowledge of PK, PD and data analysis, and wish =
to
extend their knowledge and skills on population PK/PD.

· have a good understanding of parameter estimation and wish t=
o
extend their knowledge and skills in the direction of nonlinear mixed
effect models.

· have a good understanding of population PK/PD modeling and wo=
uld
like to learn how such analyses can be conducted in a fully reproducible,
script based, manner – from data preparation to generation of the f=
inal
report.

Knowledge of NONMEM and/or MONOLIX is not required.

*Webinar objectives*

After the webinar, the participants will be able to set up their own NLME
workflow in R to: generate and explore the modeling dataset, perform
parameter estimation in supported NLME tools, and evaluate parameter
estimation results. Furthermore, participants will be able to generate a
short report in Microsoft Word. All material and tools to perform the steps
in the webinar will be provided. Application to own modeling projects
should be feasible after the webinar.

*Registration*

Registration is free of charge and can be done using the following link:

https://zoom.us/webinar/register/WN_CsjwKZIeSUm7QimJZI6nAQ

*Webinar material*

Information about how to obtain the webinar material and potential
preparations will be sent out a week before the Webinar.


Best wishes,

Henning


___________________________________________________________________________=
_____



IntiQuan GmbH
Elisabethenstrasse 23 [see map] <https://goo.gl/maps/x5WM2wVdXK8qcn8c6>
4051 Basel, Switzerland
Web: www.intiquan.com
Tel: +41 76 603 28 06

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IntiQuan GmbH | Managing Director: Dr. Henning Schmidt | Trade register:
Basel Stadt CH-270.4.004.907-8 | UID: CHE-181.306.905

Received on Sun May 24 2020 - 09:15:09 EDT

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