Cost-effectiveness analysis using data from multinational trials: the use of bivariate hierarchical modeling.

ABSTRACT: Health care cost-effectiveness analysis (CEA) often uses individual patient data (IPD) from multinational randomized controlled trials. Although designed to account for between-patient sampling variability in the clinical and economic data, standard analytical approaches to CEA ignore the presence of between-location variability in the study results. This is a restrictive limitation given that countries often differ in factors that could affect the results of CEAs, such as the availability of health care resources, their unit costs, clinical practice, and patient case mix. The authors advocate the use of Bayesian bivariate hierarchical modeling to analyze multinational cost-effectiveness data. This analytical framework explicitly recognizes that patient-level costs and outcomes are nested

SUBMITTER: Manca A 

PROVIDER: S-EPMC2246165 | biostudies-literature | 2007 Jul-Aug

REPOSITORIES: biostudies-literature