METRUM002 - Efficient reproducible Bayesian population PK modeling with NONMEM and Stan/Torsten, Metrum Research Group

Sunday, November 10, 2024

8:00 AM – 5:00 PM MST

Location: Mesquite

Speaker(s)

BG

Bill Gillespie

Disclosure information not submitted.
Tim Waterhouse, PhD (he/him/his)

Group Leader Statistics, Principal Scientist II
Metrum Research Group

Disclosure(s): No financial relationships to disclose
CJ

Curtis Johnston, PharmD

Group Leader, Principal Scientist II, PKPD M&S
Metrum Research Group

Disclosure(s): No financial relationships to disclose
SG

Seth Green

Disclosure information not submitted.

Disclosure(s):

Tim Waterhouse, PhD: No financial relationships to disclose

Curtis Johnston, PharmD: No financial relationships to disclose

This workshop provides a guided hands-on experience in performing efficient reproducible and traceable Bayesian PPK analyses. We will walk through both NONMEM-based and Stan-based workflows. Such workflows are facilitated by the use of MeRGE (Metrum Research Group Ecosystem) open-source tools that have been extended to support fully Bayesian analyses with either NONMEM or Stan. Sometimes you may want more flexibility than offered by NONMEM. We illustrate that by implementing a PPK model employing shrinkage priors for covariate effects using Stan/Torsten.