Pharmacometric modeling of composite score outcomes
Overview
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.
Instructors
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
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