title: Using densities of estimators to compare pharmacokinetic experiments.
abstract: Different designs of experiments are compared according to the shape, concentration, etc. of the densities of the least-squares estimator (conditional densities, marginal densities). In contrast with D'Argenio (J. Pharmacokinetics Biopharmaceutics 9(16) (1981) 739-756), where marginal densities have been obtained by simulations, we present here a faster procedure based on well-elaborated approximations of the densities. The stress is on the graphical presentation of the results.
authors.affiliation: Laboratoire I3S, CNRSUniversité de Nice-Sophia Antipolis, Les Algorithmes/Bâtiment Euclide B, 2000 route des Lucioles, BP 121, 06903 Sophia-Antipolis Cedex, France. pronzato@i3s.unice.fr
authors.forename: L
authors.initials: L
authors.lastname: Pronzato
authors.forename: A
authors.initials: A
authors.lastname: Pázman
mesh_terms: D003196:Computer Graphics; D003626:Data Display; D016018:Least-Squares Analysis; D008954:Models, Biological; D017711:Nonlinear Dynamics; D010599:Pharmacokinetics; D012494:Sampling Studies