title: Pharmaco-informatics: more precise drug therapy from "multiple model" (MM) stochastic adaptive control regimens: evaluation with simulated vancomycin therapy.
abstract: MM stochastic control of dosage regimens permits essentially full use of information, either in a population pharmacokinetic model or a Bayesian updated MM parameter set, to achieve and maintain selected therapeutic goals with optimal precision. The regimens are visibly more precise than those developed using mean parameter values. Bayesian MM feedback has now also been implemented.
authors.affiliation: Laboratory of Applied Pharmacokinetics, University of Southern California School of Medicine, Los Angeles 90033.
authors.forename: R W
authors.initials: RW
authors.lastname: Jelliffe
authors.forename: D
authors.initials: D
authors.lastname: Bayard
authors.forename: A
authors.initials: A
authors.lastname: Schumitzky
authors.forename: M
authors.initials: M
authors.lastname: Milman
authors.forename: M
authors.initials: M
authors.lastname: Van Guilder
mesh_terms: D001499:Bayes Theorem; D006801:Humans; D008954:Models, Biological; D013269:Stochastic Processes; D014640:Vancomycin / Q000008:administration & dosage / Q000493:pharmacokinetics*
chemical_list: D014640:Vancomycin