The University Hospital of Cologne

The Third Workshop on Non-Linear Mixed Effects Modeling using NONMEM®  for 
Beginners - 2017

We are delighted to announce our 3-day “Third Workshop to Non-Linear Mixed 
Effects Modeling using NONMEM® for Beginners - 2017”. This workshop aims to 
introduce the basic concepts and principles of non-linear mixed effects 
modeling using NONMEM and other assisting software suites (e.g. PsN, Xpose & 
Pirana). As part of the workshop, hands-on sessions and case studies will be 
offered to familiarize the participants with the workflow and technicalities 
associated with population modeling such as data management, model coding, and 
interpretation of the results.

Target Audience: Pharmacometric analysis is progressively becoming an 
indispensable tool in drug development and clinical care. The course is 
intended for participants with limited or basic knowledge of PK/PD modeling who 
wish to use this tool for informing and rationalizing decisions by introducing 
them to some of the state-of-art tools in pharmacometrics.

Location: The University Hospital of Cologne, Center of Pharmacology, Cologne, 
Germany.

Date: 30th June to 2nd July, 2017 (just after the 14th European ISSX meeting, 
26th to 29th June, 2017,see http://issxeuro2017.org/ for details)

Instructors: The course will be organized by the Clinical Pharmacology Unit in 
the University Hospital of Cologne, and tutored by young dynamic tutors (actual 
and former members of the team) who have demonstrated their solid experience 
and profound knowledge by numerous publications in international journals and 
conferences. Through multiple research projects, they have used modeling and 
simulation to address different questions relevant to drug development and to 
the clinic. Examples of their work included analyzing data from different 
sources (preclinical, phases-I, -II & -III studies), of different nature 
(continuous, categorical and time-to-event), and for different purposes 
(physiologically-based pharmacokinetics, mechanism-based pharmacodynamics, and 
survival).

Language: English

Workshop Outline:

  *   Introduction to (non-)linear regression modeling: basic statistical 
principles,  least squares and maximum likelihood fitting, fixed and random 
effects, first order (conditional) estimation.
  *   Introduction to population pharmacokinetic modeling: introduction to 
NONMEM files (control stream and data file), structural model development, 
random effects modeling.
  *   Model evaluation: introduction to supporting software tools (e.g. R, 
Xpose, PsN), goodness-of-fit plots, residual diagnostics, bootstrapping 
analysis, simulation based diagnostics (e.g. visual predictive checks).
  *   Covariate model building
  *   Introduction to modeling pharmacodynamics: different pharmacodynamic 
models, linking pharmacokinetics to pharmacodynamics

Computers will not be provided and therefore we kindly ask you to bring your 
own laptops with you and we will provide the necessary software on USB sticks.

Workshop Fees:

  *   1200 € for participants from industry and commercial enterprises
  *     600 € for academics and participants from non-profit organizations
  *     300 € for students in MSc or PhD programs.


For registration: please send an e-mail to 
[email protected]<mailto:[email protected]>; detailed information, 
participation confirmation, and instructions for payment will follow as soon as 
a sufficient number of participants is reached. Please DO NOT make any travel 
arrangements before we send you back a confirmation.

Quoting some of the feedback from previous workshops:
“Instructors were experienced and well-informed. They were also patient with 
questions”
“What I really liked about this workshop was the hands-on sessions”
“Material was excellent, and the tutors made an excellent introduction to 
NONMEM”.

————————————

Max Taubert



Department I of Pharmacology

Center for Pharmacology

Clinical Pharmacology Unit

University Hospital Cologne

Gleueler Str. 24, 50931 Köln, Germany



phone +49 221 478-86716

fax +49 221 478-7011

e-mail [email protected]<mailto:[email protected]>

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