title: Optimal design for model discrimination and parameter estimation for itraconazole population pharmacokinetics in cystic fibrosis patients.
abstract: Optimal sampling times are found for a study in which one of the primary purposes is to develop a model of the pharmacokinetics of itraconazole in patients with cystic fibrosis for both capsule and solution doses. The optimal design is expected to produce reliable estimates of population parameters for two different structural PK models. Data collected at these sampling times are also expected to provide the researchers with sufficient information to reasonably discriminate between the two competing structural models.
authors.affiliation: School of Physical Sciences, The University of Queensland, Brisbane, Australia. thw@maths.uq.edu.au
authors.forename: Timothy H
authors.initials: TH
authors.lastname: Waterhouse
authors.forename: Stefanie
authors.initials: S
authors.lastname: Redmann
authors.forename: Stephen B
authors.initials: SB
authors.lastname: Duffull
authors.forename: John A
authors.initials: JA
authors.lastname: Eccleston
mesh_terms: D000284:Administration, Oral; D000935:Antifungal Agents / Q000008:administration & dosage / Q000493:pharmacokinetics*; D001229:Aspergillosis, Allergic Bronchopulmonary / Q000150:complications / Q000188:drug therapy / Q000378:metabolism; D002214:Capsules; D003550:Cystic Fibrosis / Q000150:complications / Q000188:drug therapy / Q000378:metabolism*; D006801:Humans; D017964:Itraconazole / Q000008:administration & dosage / Q000493:pharmacokinetics*; D008954:Models, Biological; D019999:Pharmaceutical Solutions; D012494:Sampling Studies
chemical_list: D000935:Antifungal Agents; D002214:Capsules; D019999:Pharmaceutical Solutions; D017964:Itraconazole