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 –

Typical individual (PRED) based diagnostics

residual based diagnostics

empirical Bayes estimates based diagnostics

Simulation based diagnostics I

Covariate model diagnostics

Day 2 –

Simulation based diagnostics II

Models for parameter variability

Models for residual variability

Assesing model uncertainty

Handling of censored data

Day 3 -

Type-I error control

Power calculations

Modeling with new estimation methods

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 January 23 - 25 (10:00 am - 5:30 pm on Day 1, 8:30 am -5:30 pm on day 2 and 8:30 am – 3:00 pm on Day 3) at Lambertville Station Inn & Restaurant, 11 Bridge St, Lambertville, NJ, 08530, USA.

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 (virtual machines ok).

Course Fee

Regular fee: $1,700
Student fee: $1,100

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 3).

To register

Questions

For questions, please e-mail Andrew Hooker .