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Pharmacometric modeling of composite score outcomes

June 25-26, 2020
Online (from Uppsala, Sweden)

The course will be held each day following
working hours in East Asia, Japan and Oceania (GMT+9)


The EDSS in multiple sclerosis, the ACR scale for rheumatoid arthritis, or the MDS-UPDRS in Parkinson’s disease; these composite scales are as diverse as the diseases they are designed to measure. Composite scores also arise through patient-reported outcomes (PROs) that aim at measuring symptom status, physical function, mental health, and other measures important to patients. The wide range of novel pharmacometric models and approaches developed during the past years are a testament to the growing importance of this data type. This course will cover recent innovations and provide participants with a rich set of tools for analyzing composite scores in a wide variety of therapeutic areas. The course will illustrate how one can leverage finely grained item-level information but also how summary score data are most efficiently utilized. Throughout the course, questions of both model building and model-use will be discussed and presented in an interactive format including hands-on exercises.

On June 25-26 in an online course (coming to you live from Uppsala, Sweden, but following working hours in East Asia, Japan and Oceania (GMT+9)), Mats Karlsson and Sebastian Ueckert will give a 2-day course on “Pharmacometric modeling of composite score outcomes”. The course covers data aspects, model building, evaluation and use for composite score outcomes.

Topics covered

  • Modeling data with item-level resolution using item response theory
  • Modeling total score data either as continuous or discrete data under a variety of models
  • Models for responder analysis to handle, e.g., ACR20/50/70 and PASI70/90
  • Pharmacometric modeling of Patient Reported Outcomes (PROs)
  • Model-based optimization of clinical trials with composite score outcomes

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.


Prof. Mats Karlsson
Dr. Sebastian Ueckert

Practical Information

The course will run June 25 - 26, online using Zoom. The course will be run each day following the times below:

8am-5pm Beijing, Shanghai, Hong Kong, Kuala Lumpur, Singapore (GMT+8)
9am-6pm Tokyo, Seoul (GMT+9)
10am-7pm Brisbane, Sydney (GMT+10)

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: €800 + VAT
Student fee: €400 + VAT

Take both this course and Advanced methods for population model building, evaluation and usage in NONMEM : €1,500 + VAT (regular fee), €750 + VAT (student fee)

Registration fee includes: extensive electronic material including lectures, exercises, programs, additional self-study material including hands-on's and solutions.

Questions and registration

For questions, please e-mail Sebastian Ueckert.

To register, follow this link: dinkurs.se/67956

To register for both courses, follow this link: dinkurs.se/BothJP