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	Tea/Coffee
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	Lunch
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	TEA/COFFEE
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 ~