Advanced Antimicrobial Pharmacokinetic and Pharmacodynamic Modelling and Simulation, ESCMID Postgraduate Technical Workshop

6 - 8 October 2014, Liverpool, United Kingdom

  • ESCMID PK/PD of Anti-Infectives Study Group (EPASG)
  • University of Liverpool, Liverpool, United Kingdom
  • Laboratory of Applied Pharmacokinetics (LAPK), Los Angeles, United States
  • University of Southern California (USC), Los Angeles, United States
  • Monash University Melbourne, Melbourne, Australia
Course Coordinator

William Hope, Liverpool, United Kingdom

Course Objectives
  • To be introduced to the theory and practice of population PK modelling and simulations
  • To achieve the ability to fit PK-PD models to data from experimental systems and patients
  • Perform Monte Carlo simulation in the context of PK-PD evaluation of antimicrobials
  • Define PK structural models that can be solved analytically and models that require differential equations
  • Create PK datasets appropriate for population analysis
  • Fit models to data to estimate population and individual distributions of model parameter values
  • Make and customise pharmacometric plots, including but not limited to model parameter joint densities, model diagnostics, and individual or population observations and predictions
  • Perform basic and Monte Carlo simulations for PKPD analysis of antimicrobials in relevant software packages
Course Venue

Foresight Centre
University of Liverpool
1 Brownlow Street
L69 3GL Liverpool
United Kingdom


Hope Street Hotel
40 Hope Street
L1 9DA Liverpool
United Kingdom


Target Audience

Up to 20 physicians, pharmacists, clinical microbiologists/toxicologists and biomedical scientists or trainees with an interest in pharmacometrics.

Background Requirements

Comfort with computer programmes and basic knowledge of pharmacokinetics (such as a standard one- or two-compartment PK model) is required. Familiarity with simple R syntax, data structures and scripting is also helpful, but not mandatory. We would like participants to bring their own datasets if they like.

Contact Person

William Hope
1.09 Sherrington Building
University of Liverpool
Ashton Street
L69 3GE Liverpool
United Kingdom

Phone +44 151 794 59 41

Administrative Secretariat

Joanne Livermore
Antimicrobial Pharmacodynamics &
Therapeutics (APT) Group
University of Liverpool
1.12 Sherrington Building
Ashton Street
L69 3GE Liverpool
United Kingdom

Phone +44 151 794 54 66

Course Programme

Presentations are availabe in the ESCMID Online Lecture Library.

Monday, 6 October 2014

09:00 Welcome and overview.
09:30 Review of basic PK concepts: clearance, volume, half-life, area under                      the curve, non-compartmental analysis, compartmental analysis.                              Defining and coding structural PK-PD model equations.
10:30 Review of PD models: hill models, differential equations describing                          antimicrobial activity, mixture models, mathematical models                                      describing combination chemotherapy.
11:30 Introduction to PK-PD modelling: survey of methods and software.                            Advantages and disadvantages of parametric and                                                         nonparametric approaches to solving population PK-PD problems.
12:00 Lunch
13:00 Introduction to R for pharmacometrics and data analysis: the user                           interface, packages, getting help.
14:00 Introduction to P-metrics: an overview and initial demonstration.
15:00 Break
15:15 PK study design: collecting and formatting PK data for use in P-metrics.
16:00 First run with P-metrics, analysis of simple population PK datasets.
17:30 Closing

Tuesday, 7 October 2014

09:00 Review of previous afternoon, questions and repeat demonstrations                       if required.
10:00 Further demonstration of R as a pharmacometric tool: data                                        manipulation, graphics and plotting.
11:00 R: using and writing functions.
12:00 Lunch
13:00 Conducting a new population analysis.
14:00 Revising and re-running population analyses.
15:00 Break
15:15 Model selection and “validation” including simulation-based diagnostics.
16:00 Pharmacometric plots.
17:30 Closing

Wednesday, 8 October 2014

09:00 Introduction to coding and solving more complex PK-PD models                               (non-linear PK models and linked PK-PD models) using P-metrics.
10:00 Introduction and overview of Monte Carlo simulation.
11:00 Performing Monte Carlo simulations: practical session.
13:00 Lunch and closing

Faculty Members
  • Ghaith Aljayyoussi, Liverpool, United Kingdom
  • Jurgen Bulitta, Melbourne, Australia
  • Timothy Felton, Liverpool, United Kingdom
  • Sylvain Goutelle, Lyon, France
  • William Hope, Liverpool, United Kingdom
  • Johan Mouton, Nijmegen, The Netherlands
  • Michael Neely, Los Angeles, United States
  • Virginia Ramos Martin, Liverpool, United Kingdom
  • Jason Roberts, Liverpool, United Kingdom