A 3-Day Introductory Workshop in Population PK/PD Data Analysis with NONMEM®

PK data.

Thursday, May 14 - Saturday, May 16, 2020
Niagara Falls, NY

This introductory population PK training workshop has been designed to provide the necessary information to successfully implement population pharmacokinetic methodology in a drug development program and to provide the foundation for understanding the basics of NONMEM coding and interpretation of NONMEM output.

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Workshop Synopsis

The material is structured to impart both the theoretical and practical aspects of the population approach and is versatile so that participants with diverse backgrounds and areas of expertise may benefit. Examples of the use of population PK studies in drug development programs will be presented to provide specific details of various implementations and better illustrate essential aspects of population PK methods. Participants will gain an appreciation for the essentials of accurate and sufficient data collection and learn how to proactively plan in order to maximize study effectiveness. Throughout the workshop, the presenters will provide examples from their experience to inform best practices for implementation and avoiding problems. Emphasis will be placed on compliance with the FDA’s Guidance for Industry on Population PK and the EMA’s Guideline on Reporting the Results of Population PK Analyses.

The workshop content is provided as a combination of formal lectures, review of data, code, and data analysis results, in addition to hands-on exercises.  Participants will use their own laptop computers, with which they will be able to practice coding control streams, running various models, and evaluating the results. A thorough examination of an example dataset, from development of the structural and statistical models through covariate analysis will be covered. To ease the learning curve and ensure that participants are up and running with NONMEM very quickly, the KIWI™ Pharmacometric Communication Platform will be used in conjunction with NONMEM. KIWI is useful in facilitating code writing, finding errors, comparing output from different models, and generating point-and-click model diagnostics.

Learning Objectives

Following the workshop, the participant should be able to:

  1. Understand the conceptual basis and rationale for the population approach to data analysis, its benefits and advantages, including where and when population methods may be optimally applied during drug development
  2. Write, execute, and de-bug basic NONMEM® control streams for structural PK models
  3. Outline the requirements and understand the format for basic NONMEM® datasets
  4. Understand the importance of exploratory data analysis (EDA) and the interpretation of standard goodness-of-fit diagnostic plots
  5. Perform covariate analyses to evaluate determinants of variability by understanding, identifying, and coding basic functional forms for covariate-parameter relationships
  6. Understand the basis for model selection strategies and discriminate between candidate models on the basis of both quantitative and qualitative factors
  7. Understand and interpret NONMEM® output, including error messages, and have insight into potential model refinement issues

Course Instruction

The workshop is organized and taught by experienced pharmacometricians from Cognigen Corporation, also affiliated with the University at Buffalo and Union University Departments of Pharmaceutical Sciences. Cognigen Corporation, a wholly owned subsidiary of Simulations Plus, Inc., has been providing clinical pharmacology and pharmacometric consulting services, including population PK/PD modeling and simulation to the global pharmaceutical industry for over 25 years to generate and communicate the knowledge required for time-sensitive decision-making and regulatory review.

This session  is followed by a 3-day separate course in the concepts and applications of Pharmacokinetic/Pharmacodynamic Modeling coordinated by Dr. William J. Jusko.  

Jill Fiedler-Kelly.

Jill Fiedler-Kelly

Joel Owen .

Joel Owen

The workshop will be primarily taught by Jill Fiedler-Kelly and Joel Owen, co-authors of Introduction to Population Pharmacokinetic/Pharmacodynamic Analysis with Nonlinear Mixed Effects Models (John Wiley & Sons Inc., 2014).



Thursday, May 14, 2020

08:00-08:35 Continental Breakfast 
08:35-08:45 Welcome and Introduction to the Workshop
08:45-09:45 The Population Approach in Drug Development
09:45-10:20 Population Modeling Basics
10:20-10:40 Break
10:40-11:50 NONMEM® Terminology 
11:50-12:45 Estimation Methods in NONMEM® 
12:45-01:45 Lunch
01:45-03:15 Brief Overview of the NONMEM® Program and Writing an NM-TRAN Control Stream
03:15-03:35 Break
03:35-04:05 NM-TRAN Lecture (cont’d)
04:05-05:20 NONMEM® Dataset Structure 
05:20-05:30 Exercise: Writing Control Streams and Diagnosing Dataset Problems

Friday, May 15, 2020

08:00-08:30 Continental Breakfast 
08:30-09:15 Discuss Control Stream and Dataset Exercise 
09:15-09:50 Exploratory Data Analysis
09:50-10:20 Exercise: Introduction to KIWI 
10:20-10:40 Break 
10:40-11:25 Running NONMEM® and Interpreting the Output
11:25-11:35 Data Review: Introduction to the Example Dataset and Exploratory Data Analysis
11:35-12:30 Exercise: Developing a Base Structural Model
12:30-01:30 Lunch
01:30-02:00 Base Structural Model Exercise
02:00-02:10 Data Review: Base Model
02:10-02:45 Model Diagnostic Plots 
02:45-03:05 Break
03:05-03:35 Model Selection and Covariate Evaluation –Part 1: The Covariate Assessment Process
03:35-04:25 Covariate Evaluation–Part 2: Functional Forms 
04:25-04:40 Data Review: Introduction to Covariate Analysis and Coding Issues
04:40-05:30 Exercise: Forward Selection of Covariate Effects

Saturday, May 16, 2020

08:00-08:30 Continental Breakfast 
08:30 -09:00 Forward Selection Exercise (cont’d)
09:00-09:40 Data Review:  Forward Selection Results and Multivariable Model Checking
09:40-10:20  Exercise: Backward Elimination of Covariate Effects
10:20-10:40 Break
10:40-11:20 Backward Elimination Exercise (cont’d)
11:20-12:00 Applications of Bayesian Parameter Estimation
12:00-01:00 Lunch
01:00-02:50 Diagnosing Errors, Model Checking, Model Refinement, and Model Evaluation Techniques
02:50-03:00 Data Review: Backward Elim & Model Refinement
03:00-03:20 Break
03:20-03:40 Pharmacometric Analysis Planning and Population PK/PD Modeling and Simulation
04:20-04:30 Wrap-up and Final Q & A

Registration Details

Workshop Fee

The fee is $2,800. Graduate student rate of $1,400 is available for up to 3 participants. The registration fee includes hard-copy course documentation, USB drive with code examples, and a copy of the textbook, Introduction to Population Pharmacokinetic/Pharmacodynamic Analysis with Nonlinear Mixed Effects Models by Owen and Fiedler-Kelly (John Wiley & Sons Inc., 2014). 

Continental breakfasts, lunches and break-time refreshments during the course are included. No walk-ins accepted.


Cancellations with a full refund may be made until March 16, 2020. No refunds will be given for cancellations received after this date. Substitutions may be made at any time.

Computer Requirements

Laptop computers equipped with Google Chrome with Flash 9+ plugins are required to fully participate in hands-on exercises. Access to NONMEM and KIWI will be provided for the duration of the course.

Course Location

The course will be held at:
The Conference and Event Center Niagara Falls
101 Old Falls Street
Niagara Falls, NY 14303, USA
Phone: (716) 278-2100
Fax: (716) 278-0008

The Conference Center is 28 minutes from the Buffalo Niagara International Airport.

Hotel Location

Book your group rate for University at Buffalo Pharmacokinetic Modeling

Sheraton at the Falls
300 Third Street
Niagara Falls, NY 14303, USA
Phone: (716) 285-3361.

The price is $94/night single and double occupancy (add $10 per person for triple and quadruple occupancy).

Hotel deadline: April 13, 2020

Questions or looking for a printable course flyer?

Contact UB course secretary Suzette Mis at (716) 645-4831 or mis@buffalo.edu if you need assistance.