Skrepnek Grant H
Department of Pharmacy Practice and Science and the Center for Health Outcomes and PharmacoEconomics Research, The University of Arizona, College of Pharmacy, Tucson, Arizona, USA.
Pharmacoeconomics. 2007;25(8):649-64. doi: 10.2165/00019053-200725080-00003.
The application of Bayesian statistical analyses has been facilitated in recent years by methodological advances and an increasing complexity necessitated within research. Substantial debate has historically accompanied this analytic approach relative to the frequentist method, which is the predominant statistical ideology employed in clinical studies. While the essence of the debate between the two branches of statistics centres on differences in the use of prior information and the definition of probability, the ramifications involve the breadth of research design, analysis and interpretation. The purpose of this paper is to discuss the application of frequentist and Bayesian statistics in the pharmacoeconomic assessment of healthcare technology. A description of both paradigms is offered in the context of potential advantages and disadvantages, and applications within pharmacoeconomics are briefly addressed. Additional considerations are presented to stimulate further development and to direct appropriate applications of each method such that the integrity and robustness of scientific inference be strengthened.
近年来，方法学的进步以及研究中日益增加的复杂性推动了贝叶斯统计分析的应用。相对于临床研究中占主导地位的统计思想——频率论方法，这种分析方法历来伴随着大量的争论。虽然这两个统计学分支之间争论的核心在于先验信息的使用差异和概率的定义，但影响涉及研究设计、分析和解释的广度。本文的目的是讨论频率论和贝叶斯统计在医疗技术药物经济学评估中的应用。在阐述各自潜在优缺点的背景下，对这两种范式进行了描述，并简要介绍了它们在药物经济学中的应用。还提出了其他一些考虑因素，以促进进一步发展，并指导每种方法的适当应用，从而加强科学推断的完整性和稳健性。
