502
Views
5
CrossRef citations to date
0
Altmetric
Original Article

Bayesian cost-effectiveness analysis for censored data: an application to antiplatelet therapy

, &
Pages 434-443 | Accepted 14 Dec 2011, Published online: 30 Jan 2012

References

  • Goeree R, He J, O’Reilly D, et al. Transferability of health technology assessments and economic evaluations: a systematic review of approaches for assessment and application. ClinicoEconomics Outcome Res 2011;3:89-104
  • Doshi JA, Glick HA, Polsky DP. Analyses of cost data in economic evaluation conducted alongside randomized controlled trials. Value Health 2006;9:334-40
  • Willan AR, Briggs AH. Statistical analysis of cost-effectiveness data. Chichester: John Wiley & Sons, 2006
  • O’Brien BJ, Drummond MF, Labelle RJ, et al. In search of power and significance: issues in the design and analysis of stochastic cost-effectiveness studies in health care. Med Care 1994;2:150-63
  • Willan AR, O'Brien BJ. Confidence intervals for cost-effectiveness ratios: an application of Fieller's Theorem. Health Econ 1996;5:297-305
  • Briggs AH, Wonderling DE, Mooney CZ. Pulling cost-effectiveness analysis up by its bootstraps: a non-parametric approach to confidence interval estimation. Health Econ 1997;6:327-40
  • Briggs AH. A Bayesian approach to stochastic cost-effectiveness analysis. Health Econ 1999;8:257-61
  • Hout BAV, Al MJ, Gordon GS, et al. Costs, effects and C/E-ratios alongside a clinical trial. Health Econ 1994;3:309-19
  • Löthgren M, Zethraeus N. Definition, interpretation and calculation of cost-effectiveness acceptability curves. Health Econ 2000;9:623-30
  • O’Hagan A, Stevens JW, Montmartin J. Inference for the cost-effectiveness acceptability curve and cost-effectiveness ratio. Pharmacoeconomics 2000;17:339-49
  • Briggs A, Fenn P. Confidence intervals or surfaces? Uncertainty on the cost-effectiveness plane. Health Econ 1998;7:723-40
  • O’Hagan A, Stevens JW. A framework for cost-effectiveness analysis from clinical trial data. Health Econ 2001;10:303-15
  • Briggs AH, O'Brien BJ, Blackhouse G. Thinking outside the box: recent advances in the analysis and presentation of uncertainty in cost-effectiveness studies. Ann Rev Public Health 2002;23:377-401
  • Willan AR, Briggs AH, Hoch JS. Regression methods for covariate adjustment and subgroup analysis for non-censored cost-effectiveness data. Health Econ 2004;13:461-75
  • Vázquez-Polo FJ, Hernández MAN, López-Valcárcel BG. Using covariates to reduce uncertainty in the economic evaluation of clinical trial data. Health Econ 2005;14:545-57
  • Vázquez-Polo FJ, Negrín M, Badía X, et al. Bayesian regression models for cost-effectiveness analysis. Eur J Health Econ 2005;50:45-52
  • Blackhouse G, Briggs AH, O’Brien BJ. A note on the estimation of confidence intervals for cost-effectiveness when costs and effects are censored. Med Decis Making 2002;22:173-7
  • Heitjan DF, Kim CY, Li H. Bayesian estimation of cost-effectiveness from censored data. Stat Med 2004;23:1297-309
  • Fenwick E, Marshall DA, Blackhouse G, et al. Assessing the impact of censoring of costs and effects on health-care decision-making: an example using the Atrial Fibrillation Follow–up Investigation of Rhythm Management (Affirm) Study. Value Health 2008;11:365-75
  • Lin DY, Feuer EJ, Etzioni R, et al. Estimating medical costs from incomplete follow-up data. Biometrics 1997;53:419-34
  • Raikou M, McGuire A. Estimating medical care costs under conditions of censoring. J Health Econ 2004;23:443-70
  • Gilks W, Richardson S, Spiegelhalter D. Markov Chian Monte Carlo in Practice. Boca Raton, FL: Chapman & Hall/CRC, 1996
  • Gelman A, Carlin J, Stern H, et al. Bayesian data analysis, 2nd edn. Boca Raton, FL: Chapman & Hall/CRC, 2004
  • Genz A. Numerical computation of multivariate normal probabilities. J Comput Graph Statis 1992;1:141-50
  • Geweke J. Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In: Bernado JM, Berger JO, Dawid AP, Smith AFM, eds. Bayesian statistics. Oxford: Clarendon Press, 1992
  • Lumley T, Diehr P, Emerson S, et al. The importance of the normality assumption in large public health data sets. Ann Rev Public Health 2002;23:151-69

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.