Advanced methods for population model
building, evaluation and usage in NONMEM
Overview
Pharmacometric modeling has become a pillar in model
informed drug development (MIDD). With this comes
expectations with respect to quality, efficiency,
transparency and innovation in the implementation of the
modeling and decision-making process. In this course we
will present methods that will help make model building of
standard problems more efficient and improve the final
product. Further, it will give modelers a larger toolset
of diagnostics and model components when it comes to
development of models for challenging
situations. Automated procedures recently developed for
PsN & R facilitates a comprehensive assessment of a model
and tailored functionality allow command-line
transformations of models.
On November 8-12 in an online course
(coming to you live from Uppsala, Sweden, but following afternoon working hours
in China),
Mats Karlsson and
Andrew Hooker will give a 5-day course on “Advanced
methods for population model building, evaluation and
usage in NONMEM”. The course presents strategies for model
building and improvement, the latest methods for model
evaluation, as well as strategies to consider when
utilizing models for model-informed drug development.
The course consists of both lectures and hands-on computer
exercises applying the methods discussed. This hands-on
material is based on the most recent developments from
NONMEM 7.4, Perl-speaks-NONMEM (PsN) and
Xpose. Participants get a vast amount
of hands-on examples, code, code snippets and lecture
material that can be useful on a daily basis. A majority of the
hands-on work will be done outside of the planned course times, where lectures and discussions will dominate.
If you want to learn how to use tools and methods for fast, efficient
and comprehensive model building, evaluation and usage, come join us
in November!
Topics covered
- Model building and model components
- Overall modeling strategies
- Random effects models (standard and extended)
- Residual error models (standard and extended)
- Mixture modeling
- Handling censored data (e.g. BQL and dropout)
- Covariate models and model building
- Estimation methods and settings
- Model evaluation
- Prediction- and Residual-based
- Empirical Bayes Estimate (EBE) and sampling-based diagnostics
- Simulation and Simulation-Evaluation/Estimation-Based
- Outlier and influential individual diagnostics
- Automated evaluations
- Covariate model focused diagnostics
- Parameter uncertainty (bootstrap, SIR, COV)
- Automated model quality assesment (QA)
- To consider when applying models for informed drug development
- Bias assessment
- Power and Type I error
- Model averaging
Intended course participants
The course is designed for those who have a good working knowledge
of pharmacometric analysis with experience in performing NONMEM
analyses and/or have attended a NONMEM basic workshop.
Instructors
Prof. Mats Karlsson
Prof. Andrew Hooker
Practical Information
The course will run November 8 - 12, online
using Zoom. The course will be run each
day following the times below:
Monday - Thursday, 1pm-5:30pm China Standard Time (GMT+8)
Friday, 1pm-3pm China Standard Time (GMT+8)
The online course will offer:
- Live video lectures and hands-on
- Engaging Q&A and polling
- Enriching discussions in small breakout rooms
- Possibility for remote assistance
- Virtual coffee breaks to connect with other participants
Computer hardware/software - The
course will include hands-on training, with the
participants working on their own computers. All
programs will run from a downloadable PKPD environment and participants
will not be required to install any programs on their
computer. However, All participants must have a
computer with a Windows OS (for MAC OS and Linux users a virtual
windows environment will work).
Course Fee
Regular fee: €1,000 (+ VAT if applicaple)
ISQP participant: €750 (+ VAT if applicaple)
Student fee: €500 (+ VAT if applicaple)
Registration fee includes: extensive electronic
material including lectures, exercises, programs (PsN and Xpose),
additional self-study material including hands-on's and solutions.
Questions and registration
For questions, please e-mail Andrew Hooker.
To register, follow this link: dinkurs.se/ModelBuildEvalUseChina
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