title: EMSA: a SAAM service for the estimation of population parameters based on model fits to identically replicated experiments.
abstract: This paper presents a new technique for the aggregation of models to produce population parameter estimates based on a set of identically replicated experiments. After describing the theoretical basis for the technique we discuss tactical and strategic issues associated with its implementation in the SAAM software. Finally, we demonstrate its utility in the aggregation of models fitted to four simulated experiments.
authors.affiliation: Computer Services Unit, Murdoch University, WA.
authors.forename: A
authors.initials: A
authors.lastname: Lyne
authors.forename: R
authors.initials: R
authors.lastname: Boston
authors.forename: K
authors.initials: K
authors.lastname: Pettigrew
authors.forename: L
authors.initials: L
authors.lastname: Zech
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D007553:Isotope Labeling; D016013:Likelihood Functions; D011868:Radioisotopes / Q000493:pharmacokinetics*; D012985:Software Design; D012986:Software Validation
chemical_list: D011868:Radioisotopes