Population Optimum Design of Experiments

PODE 2016

Uppsala University, Sweden

20 June 2016


9.00 - 9.30

Welcome tea/coffee

9.30 - 10.30

Florence Loingeville, INSERM, Paris.

Evaluation of the Bayesian Individual Information Matrix in Nonlinear Mixed Effect Models using Monte Carlo integration (slides).

Anders Kristoffersson, Uppsala University.

Simultaneous optimization of a sparse sampling schedule for estimation of piperacillin population PK and individual T>MIC in severe sepsis patients (slides).

10.30 - 11.00





11.00 - 12.00

Barbara Bogacka, Queen Mary, University of London.

Adaptive design in clinical trials optimising doses and  population PK parameters.

Yevgen Ryeznik, Uppsala University.

Adaptive dose finding for time-to-event outcomes with adaptive choice of patient number based on response rate (slides).

12.00 - 13.00





13.00 - 14.00

Giulia Lestini, INSERM and Universite Paris Diderot.

Robust design in model-based analysis of longitudinal clinical data (slides).

James McGree. University of Queensland.

Bayesian design work for PK models where the parameter estimation criterion is a function of the posterior distribution so evaluating Fisher information is not needed (slides).

14.00 - 14.30





14.30 - 15.30

Warwick Tucker, Uppsala University.

Parameter estimation via constraint propagation (slides).

Andrew Hooker, Uppsala University.  

Expanding the reach of optimal design and the PODE community (slides).

15.30 - 17.00

General Discussion

~ PODE ~