title: A review on estimation of stochastic differential equations for pharmacokinetic/pharmacodynamic models.
abstract: This paper is a survey of existing estimation methods for pharmacokinetic/pharmacodynamic (PK/PD) models based on stochastic differential equations (SDEs). Most parametric estimation methods proposed for SDEs require high frequency data and are often poorly suited for PK/PD data which are usually sparse. Moreover, PK/PD experiments generally include not a single individual but a group of subjects, leading to a population estimation approach. This review concentrates on estimation methods which have been applied to PK/PD data, for SDEs observed with and without measurement noise, with a standard or a population approach. Besides, the adopted methodologies highly differ depending on the existence or not of an explicit transition density of the SDE solution.
authors.affiliation: Laboratoire Ceremade, Université Paris Dauphine, France.
authors.forename: Sophie
authors.initials: S
authors.lastname: Donnet
authors.forename: Adeline
authors.initials: A
authors.lastname: Samson
mesh_terms: D000465:Algorithms; D006801:Humans; D008954:Models, Biological; D010599:Pharmacokinetics; D013269:Stochastic Processes