| Literature DB >> 21930515 |
Gianluca Baio1, A Philip Dawid2.
Abstract
Health economic evaluations have recently become an important part of the clinical and medical research process and have built upon more advanced statistical decision-theoretic foundations. In some contexts, it is officially required that uncertainty about both parameters and observable variables be properly taken into account, increasingly often by means of Bayesian methods. Among these, probabilistic sensitivity analysis has assumed a predominant role. The objective of this article is to review the problem of health economic assessment from the standpoint of Bayesian statistical decision theory with particular attention to the philosophy underlying the procedures for sensitivity analysis.Keywords: Bayesian decision theory; health economic evaluation; sensitivity analysis
Mesh:
Year: 2011 PMID: 21930515 DOI: 10.1177/0962280211419832
Source DB: PubMed Journal: Stat Methods Med Res ISSN: 0962-2802 Impact factor: 3.021