The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies

✍ Scribed by Karl Claxton

• Book ID: 117359570
• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 222 KB
• Volume: 18
• Category: Article
• ISSN: 0167-6296
• DOI: 10.1016/s0167-6296(98)00039-3

✦ Synopsis

The literature which considers the statistical properties of cost-effectiveness analysis has focused on estimating the sampling distribution of either an incremental cost-effectiveness ratio or incremental net benefit for classical inference. However, it is argued here that rules of inference are arbitrary and entirely irrelevant to the decisions which clinical and economic evaluations claim to inform. Decisions should be based only on the mean net benefits irrespective of whether differences are statistically significant or fall outside a Bayesian range of equivalence. Failure to make decisions in this way by accepting the arbitrary rules of inference will impose costs which can be measured in terms of resources or health benefits forgone. The distribution of net benefit is only relevant to deciding whether more information is required. A framework for decision making and establishing the value of additional information is presented which is consistent with the decision rules in CEA. This framework can distinguish the simultaneous but conceptually separate steps of