*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 understand
· 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 to
extend their knowledge and skills in the direction of nonlinear mixed
effect models.
· have a good understanding of population PK/PD modeling and would
like to learn how such analyses can be conducted in a fully reproducible,
script based, manner – from data preparation to generation of the final
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
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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