title: Overview of pharmacoeconomic modelling methods.
abstract: In the current climate of burgeoning health care costs, pharmacoeconomics is becoming increasingly important, but knowledge about pharmacoeconomic methods is limited among most clinicians. This review provides an introduction to, and overview of, common methods used in pharmacoeconomic modelling: decision analysis, Markov modelling, discounting and uncertainty analyses via Monte Carlo simulation. It will conclude with a suggested approach to reading and appraising published pharmacoeconomic analyses.
authors.affiliation: Melbourne EpiCentre, Department of Medicine (Royal Melbourne Hospital), The University of Melbourne, Melbourne, Victoria, Australia. zademi@unimelb.edu.au
authors.forename: Zanfina
authors.initials: Z
authors.lastname: Ademi
authors.forename: Hansoo
authors.initials: H
authors.lastname: Kim
authors.forename: Ella
authors.initials: E
authors.lastname: Zomer
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Reid
authors.forename: Bruce
authors.initials: B
authors.lastname: Hollingsworth
authors.forename: Danny
authors.initials: D
authors.lastname: Liew
mesh_terms: D003661:Decision Support Techniques; D017850:Economics, Pharmaceutical; D017048:Health Care Costs / Q000706:statistics & numerical data; D006801:Humans; D008390:Markov Chains; D018803:Models, Economic; D009010:Monte Carlo Method