成本效益临床试验样本量的贝叶斯评估

Bayesian assessment of sample size for clinical trials of cost-effectiveness.

作者信息

O'Hagan A, Stevens J W

机构信息

Statistical Services Unit, University of Sheffield, United Kingdom.

出版信息

Med Decis Making. 2001 May-Jun;21(3):219-30. doi: 10.1177/0272989X0102100307.

DOI:10.1177/0272989X0102100307

PMID:11386629

Abstract

The authors present an analysis of the choice of sample sizes for demonstrating cost-effectiveness of a new treatment or procedure, when data on both cost and efficacy will be collected in a clinical trial. The Bayesian approach to statistics is employed, as well as a novel Bayesian criterion that provides insight into the sample size problem and offers a very flexible formulation.

摘要

作者们对在临床试验中收集成本和疗效数据时，用于证明新治疗方法或程序的成本效益的样本量选择进行了分析。采用了贝叶斯统计方法，以及一种新颖的贝叶斯标准，该标准深入洞察了样本量问题，并提供了非常灵活的公式。