A Satellite Workshop of
The 1st Asian Pharmacometrics Conference
in Kyoto

Title:Understanding Classical Estimation Methods of NONMEM
Language:English (Japanese script and a translator for questions
will be available, if the number of participants is large enough.)
Date and Time: 2017-10-25 (Wednesday) 13:00 - 17:00 (4 hours)
Shiran Kaikan Annex (Capacity: 60 persons)
11-1 Yoshida Ushinomiya-cho, Sakyo-ku, Kyoto, 606-8302 JAPAN
Participation Fee:12,000 Yen (An invoice will be sent after registration.)
Student (Graduate or Undergraduate) or Trainee: 6,000 Yen
Registration:Press here to register.
It is hard to understand the background theory of NONMEM. Lectures and examples will be given to understand the internals of NONMEM. Participants are expected to have basic knowledge of R software (such as package installation) but not of NONMEM. They will produce essentially the same output to NONMEM with R optimization functions only, without any help of NONMEM.


13:00 - 13:50Installation, Review of Essential Statistics
14:00 - 14:50First Order Approximation Method
15:00 - 15:50First Order Conditional Estimation and Laplacian Method
16:00 - 17:00Covariance Step for Standard Error

Recommended Software

R basehttps://cran.r-project.org
R package nmwhttps://cran.r-project.org/package=nmw
It is recommended to bring your own laptop computer (notebook PC) to run examples.
NONMEM output will be provided for the comparison with R output.
Therefore, you don't need to have NONMEM for this workshop.

Reference Materials

Tutorial article 1: First-order approximation method
Tutorial article 2: First-order conditional estimation method
Additional files will be provided at the workshop.

About the Lecturer

Professor Kyun-Seop Bae is currently the chairperson of the Department of Clinical Pharmacology and Therapeutics at Asan Medical Center, University of Ulsan. You can find his publications at PubMed. He gives NONMEM workshop annually in Korea since 2002. A very similar workshop was given to reviewers of Division of Pharmacometrics, Office of Clinical Pharmacology, US FDA on 2017-03-22.

Other Helpful Resource

Among R packages for pharmacokinetics, NonCompart, nmw, pkr, and ncar were created by Kyun-Seop Bae.