The probability of cost-effectiveness

被引：33

作者：

O'Hagan A. ^{[1
]}

Stevens J.W. ^{[2
]}

机构：

[1] Ctr. Bayesian Stat. Hlth. Econ., University of Sheffield, Sheffield

[2] Clinical Sciences, AstraZeneca R and D, Charnwood, Loughborough

来源：

BMC Medical Research Methodology | / 2卷 / 1期

关键词：

Health Care Provider; Statistical Inference; Bayesian Formulation; Secondary Interest; Choose Patient;

D O I：

10.1186/1471-2288-2-5

中图分类号：

学科分类号：

摘要：

Background: The study of cost-effectiveness comparisons between competing medical interventions has led to a variety of proposals for quantifying cost-effectiveness. The differences between the various approaches can be subtle, and one purpose of this article is to clarify some important distinctions. Discussion: We discuss alternative measures in the framework of individual, patient-level, incremental net benefits. In particular we examine the probability of cost-effectiveness for an individual, proposed by Willan. Summary: We argue that this is a useful addition to the range of cost-effectiveness measures, but will be of secondary interest to most decision makers. We also demonstrate that Willan's proposed estimate of this probability is logically flawed.

引用

页码：1 / 6

页数：5

共 23 条

[1]

Willan A.R., On the probability of cost-effectiveness using data from randomised clinical trials, BMC Medical Research Methodology, 1, (2001)

[2]

Thompson S.G., Barber J.A., How should cost data in pragmatic randomised trials be analysed?, British Medical Journal, 320, pp. 1197-1200, (2000)

[3]

Stinnett A.A., Mullahy J., Net health benefits: A new framework for the analysis of uncertainty in cost-effectiveness analysis, Med Decis Making, 18, (1998)

[4]

Briggs A.H., Mooney C.Z., Wonderling D.E., Constructing confidence intervals for cost-effectiveness ratios: An evaluation of parametric and non-parametric techniques using monte carlo simulation, Statistics in Medicine, 18, pp. 3245-3262, (1999)

[5]

Briggs A.H., Wonderling D.E., Mooney C.Z., Pulling cost-effectiveness analysis up by its bootstraps: A non-parametric approach to confidence interval estimation, Health Economics, 6, pp. 327-340, (1997)

[6]

Chaudhary M.A., Steams S.C., Estimating confidence intervals for cost-effectiveness ratios: An example from a randomised trial, Statistics in Medicine, 15, pp. 1447-1458, (1996)

[7]

Laska E.M., Meisner M., Siegel C., Statistical inference for cost-effectiveness ratios, Health Economics, 6, pp. 229-242, (1997)

[8]

O'Brien B.J., Drummond M.F., Labelle R.J., Willan A.R., In search of power and significance: Issues in the design and analysis of stochastic cost-effectiveness studies in health care, Medical Care, 32, pp. 150-163, (1994)

[9]

Polsky D., Glick H.A., Wilike R., Schulman K., Confidence intervals for cost-effectiveness ratio: A comparison of four methods, Health Economics, 6, pp. 243-252, (1997)

[10]

Tambour M., Zethraeus N., Bootstrap confidence intervals for cost-effectiveness ratios: Some simulation results, Health Economics, 7, pp. 143-147, (1998)

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