title: Bayesian forecasting in paediatric populations.
abstract: Bayesian forecasting offers several important advantages for dosage individualisation in children, although, unlike for adults, its use in this population is much lower. Indeed, currently Bayesian methods are underused in this patient population. The paucity of paediatric population pharmacokinetic parameters, and the unavailability of specific clinical pharmacokinetic software for the whole paediatric population, are the main limitations to the application of Bayesian methods in these patients. When these problems have been overcome, this approach will allow clinicians to achieve therapeutic concentrations more readily, faster and more precisely, thus making the methodology highly attractive in the paediatric setting.
authors.affiliation: Department of Pharmacy and Pharmaceutical Technology, University of Salamanca, Spain.
authors.forename: M M
authors.initials: MM
authors.lastname: Fernández de Gatta
authors.forename: M J
authors.initials: MJ
authors.lastname: García
authors.forename: J M
authors.initials: JM
authors.lastname: Lanao
authors.forename: A
authors.initials: A
authors.lastname: Domínguez-Gil
mesh_terms: D000293:Adolescent; D001499:Bayes Theorem; D002648:Child; D002675:Child, Preschool; D006801:Humans; D007223:Infant; D004364:Pharmaceutical Preparations / Q000008:administration & dosage; D010599:Pharmacokinetics
chemical_list: D004364:Pharmaceutical Preparations