The objective of this course is to introduce the basic concepts of population pharmacokinetics (PK)/ pharmacodynamics (PD) and NONMEM analysis.

Registration

Deadline for registration is September 4, 2019. Contact ICON's Lisa Wilhelm-Lear to learn more and reserve your spot.

Register Today

Objective

The objective of this course is to introduce the basic concepts of population pharmacokinetics (PK)/ pharmacodynamics (PD) and NONMEM analysis.  The course is targeted to individuals interested in learning to solve population pharmacokinetic problems, and we have prepared the course in a general manner as to include a wide background of participants. The course will demonstrate how NONMEM, using the graphical user interface software PDx-Pop, can be used to solve practical population PK/PD problems, using a hands-on format with specific examples. This allows participants to work through the problems with the instructor, to develop a thorough understanding of the software and to establish confidence in applying the software to population pharmacokinetic problems.

Attendees will be instructed on the basic theory of mixed effects analysis, receive hands-on instruction of creating PK and PD models in NONMEM, learn to manage projects using PDx-POP, a graphical user interface software specifically designed for NONMEM, develop covariate models, and implement various graphical and statistical methods for validating models using PDx-POP's supplementary statistical and graphical tools.  After attending this course, the participate will understand the fundamentals of population analysis; be able to run NONMEM with PDx-Pop; know how to apply some of the methods used to perform population analysis; know how to explore, develop, and evaluate population models; know how to estimate the mean pharmacokinetic (PK) and/or pharmacodynamic (PD) parameters in a population of patients; and be able to investigate and identify fixed effect sources of variability (covariates) which influence the PK and PD of a drug.

This two-day course and the workshop's third day course, the Advanced course, are part of one series. Interested parties may register for the first two days (this course), the third day (Advanced course), or a combination of all three courses.

Download Agenda

Presenters

Robert J. Bauer, PhD.

Robert J. Bauer, PhD.

Vice President, Pharmacometrics, Research and Development (R&D), ICON plc

Robert Bauer (Robert.Bauer@iconplc.com) holds a PhD. in Pharmacology. He heads the Pharmacometrics R&D department at ICON Plc, Gaithersburg, MD, where he and his group maintain the population analysis software NONMEM®, incorporating leading edge algorithms in pharmacometrics. Dr. Bauer’s focus is on developing and implementing mathematical and statistical algorithms for biomedical problems.

Brian M. Sadler, Ph.D.

Brian M. Sadler, PhD.

Sr. Scientific Director, Pharmacokinetics, Pharmacodynamics, Modeling & Simulation, ICON plc

Brian Sadler, Ph.D., Senior Scientific Director, Pharmacokinetics, Pharmacodynamics, Modeling and Simulation, joined ICON in 2010 and brings 37 years of relevant experience from the perspectives of his previous positions as a PKDM scientist at RTI International, a project pharmacokineticist at GlaxoSmithKline, an instructor and domain expert at a Pharsight, and as the principal and owner of his own pharmacometric consulting company. Dr. Sadler earned his Ph.D. in Pharmacology and B.A. in Biology from the University of Missouri - Columbia.

Indrajit Das, PhD

Indrajit Das, PhD

Scientist I, Pharmacometrics, ICON plc

Indrajit Das, PhD. Indrajit Das holds a PhD. in Physics.  He is Scientist I in Pharmacometrics R&D department at ICON Plc, Gaithersburg, MD., where he develops and maintains the population analysis software NONMEM®’s Graphical User Interface and post-processing tool PDx-Pop, incorporating leading edge algorithms using Java, Perl and R.  Dr. Das’s focus is on developing and implementing Object Oriented  Programming  principles and practices such that PDx-Pop seamlessly works with NONMEM.

Indrajit.Das@iconplc.com

Fees

  • Industry - $1600
  • Academia - $1400
  • Student - $1200

A discount of 15% is available to groups of 3 or more participants from the same organization.

Registration

Deadline for registration is September 4, 2019. Contact ICON's Lisa Wilhelm-Lear to learn more and reserve your spot.

Register Today