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