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Advanced methods for population model building and evaluation in NONMEM

Montreux, Switzerland
May 26 - 28, 2018

Overview

In this course the Uppsala Pharmacometrics Group will present advanced methods for population, nonlinear mixed-effect (NLME) model building and evaluation using NONMEM. The Uppsala group has been involved in developing NONMEM models and methodology for over twenty years. Diagnostics for model building have been developed, evaluated and integrated into NONMEM adapted versions of the programs Perl-speaks-NONMEM (PsN) and Xpose.  The course will last for 2.5 days and consists of both lectures and hands-on computer exercises.  Participants will use NONMEM, PsN and Xpose 4 during the hands-on sessions, with the participants working on their own computers.  All programs will run from an USB memory-stick and participants will not be required to install any programs on their computer.

Course Outline (2.5 days)

The course will last for 2.5 days and consists of both lectures and hands-on computer exercises. 

  • Day 1 –
    • Model building strategies
    • Strategies for model diagnostics
    • Typical individual (PRED) based diagnostics
    • Residual based diagnostics
    • Individual parameter (empirical Bayes estimates) based diagnostics
  • Day 2 –
    • Simulation based diagnostics - Miror plots, Visual predictive checks (including prediction corrected VPC, censored data VPC, VPCs of other diagniostics), Numerical predictive checks, non-compartment analysis posterior predictive checks, simulation-evaluation diagnostics
    • Covariate model diagnostics
    • Models for parameter variability
    • Models for residual variability
  • Day 3 -
    • Assesing model uncertainty
    • Handling of censored data
    • Type-I error control
    • Power calculations
    • Automated model quality assesment (QA)

Prerequisite

A prerequisite for the course is experience with performing NONMEM analyses or having attended a NONMEM basic workshop.

Instructors

Prof. Mats Karlsson
Assoc. Prof. Andrew Hooker

Practical Information

The course will run May 26 - 28 (12:30 pm - 5:30 pm on day 1, 8:30 am -5:30 pm on day 2 and day 3).

Computer hardware/software - The course will include hands-on training, with the participants working on their own computers.  All programs will run from a USB memory-stick and participants will not be required to install any programs on their computer. All participants must bring their own Windows laptops (for MAC OS and Linux users a virtual windows environment will work).

Course Fee

Regular fee: 1,500€
Student fee: 1,000€

Registration fee includes: extensive electronic material including lectures, exercises, programs (PsN and Xpose), additional self-study material including hands-on's and solutions. Morning and afternoon refreshments and lunches are included (no lunch on day 1).

Questions and registration

For questions, please e-mail Andrew Hooker.

To register follow this link: dinkurs.se/ModelBuildAndEvaluate