PAGE2019-Satellite-Workshop:

Population PK/PD modeling in R

PAGE 2019 Meeting, June 11 Tuesday, 08:00-17:00
Mindset Konferens, Room: Ettan, Mäster Samuelsgatan 60, Stockholm [View Map]

Workshop Description

IntiQuan is running a full day hands-on workshop on NLME modeling workflow from data exploration, parameter estimation, and reporting in the R environment using our IQR Tools R package. The major topics covered are:

  • 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, MONOLIX, and NLMIXR
  • Model evaluation based on goodness-of-fit plots and VPCs
  • Model simulation
  • Reporting

After the workshop, the participants will be able to set up their own NLME workflow using IQR Tools to: 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.

The workshop is divided into two parts. In the first part, a basic PK modeling workflow will be introduced. The second part is a hands-on exercise in which the basic workflow will be applied to a PKPD model development. The participants will need to modify and extend the prepared R scripts under the supervision of the presenters. No prior knowledge of neither NONMEM, MONOLIX, nor NLMIXR is required. Basic knowledge of NLME modeling and R is of advantage. All material (slides, example models, R code, required R libraries, and additional software) will be shared with the participants prior to the workshop.

For participating in the hands-on part of the workshop, a laptop with an R installation is required. The parameter estimation can be performed either with NONMEM or MONOLIX, hence, either of these tools should be installed. A trial license for MONOLIX will be provided to participants who wish to use MONOLIX. Part of the examples can also be run with the open-source and freely available NLMIXR R package instead. Ideally, IQR Tools should be installed and parameter estimation software should be linked in the IQR Tools setup before the workshop. Participants will receive detailed and easy to follow installation instructions before the workshop and are encouraged to contact the presenters for support to setup IQR Tools on their system, if needed. Note that administrator rights are needed for some steps of the installation process (NONMEM and MONOLIX), so the complete  installation during the workshop might not be possible.

Workshop location:

Room ETTAN
Mindset Konferens
Mäster Samuelsgatan 60
Stockholm
[View Map]

Registration

The regular workshop fee is 500 EUR for industry, 300 EUR for academia/government/non-profit, and 200 EUR for students. This includes workshop material and coffee break. Payment can be done conveniently and securely via PayPal, here below:

Please select the rate that applies to you based on your affiliation (right hand side). Then, by clicking the “Pay Now” button you are redirected to PayPal, allowing secure payment of the workshop fee. An invoice will be sent to you by email. We send out this invoice manually, so please give us a minute to do that.Refund policy: No refunds.

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Program

June 10th Monday
Time Topic Presenter
08:00-08:15 Welcome and Introduction Henning Schmidt
08:15-10:00
  • IQR Tools concepts and capabilities
  • Model description and data formatting
  • PK workflow overview
  • Data exploration in graphs and summary tables
Anne Kümmel
10:00-10:15 Coffee break
10:15-12:00
  • NLME parameter estimation in NONMEM, MONOLIX, and NLMIXR
  • Generation of model diagnostics and model development tables
  • Generation of VPCs and other simulations from the data
  • Automatic reporting of modeling and simulation results in Microsoft Word
Anne Kümmel
12:00-13:00 Lunch
13:00-15:00
  • Introduction to a PKPD modeling example
  • Hand-on exercise:
    • Data exploration and base model building
Anne Kümmel
15:00-15:15 Coffee break
15:15-16:45
  • Exploration of diagnostic plots and setting up covariate and covariance model
  • Generation of VPC of final model
  • Generation of Modeling Memo
Anne Kümmel
16:45-17:00 Wrap-up and concluding remarks Henning Schmidt