Advanced Features of NONMEM 7 Workshop for ACoP 2018

This is a one-day NONMEM 7 course that will be presented by ICON at the ACoP 2018 Convention.

Presenters

Robert Bauer, PhD, Brian M. Sadler, PhD, & Indrajit Das, PhD

Course objectives

Workshop attendees will be instructed how to specify gradient precision and how to use the FAST algorithm (new in NM 7.4) for FOCE, and will also be instructed on how to use the Monte Carlo importance sampling, stochastic approximation expectation-maximization methods, and full Bayesian methods such as Gibbs sampling and Hamiltonian no-U turn sampling (new in NM 7.4).

Parallel computing and dynamic memory allocation for efficient memory usage will also be described as well as symbolic references to thetas, etas, and sigmas, priors to sigmas, MonteCarlo search algorithms to improve FOCE estimation, built-in individual weighted residuals, bootstrap tools for simulation, and automatic stabilization against numerical exceptions (new in NM 7.4).

Also, learn to use new abbreviated code features for easier modeling of inter-occasion variability, modeling additional mixed effects levels for grouping individuals, such as inter-clinical site variability, and using the DO loop feature in abbreviated code, useful for handling multiple bolus doses in models that use the analytical absorption function for multiple transit compartments. The features of PDx-POP 5.2, the graphical interface for NONMEM 7, will also be demonstrated.

View the Full Agenda

Fees

  • Industry - $600
  • Academia/Government - $300 
  • Student - $150

Questions?

Contact Lisa Wilhelm-Lear for more information. 

Registration

Registration will be handled by the organisers for the ACoP meeting.