Average cost-effectiveness ratio with censored data

Journal of Biopharmaceutical Statistics

Volumn 22, Issue 2, 2012, Pages 401-415

  Bang, Heejung ^a   Zhao, Hongwei ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b TEXAS A AND M HEALTH SCIENCE CENTER   (United States)

Author keywords

Bootstrap; Confidence interval; Fieller; Taylor

Indexed keywords

ARTICLE; BOOTSTRAPPING; CENSORSHIP; CONFIDENCE INTERVAL; COST BENEFIT ANALYSIS; COST EFFECTIVENESS ANALYSIS; DATA ANALYSIS; FIELLER METHOD; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; SURVIVAL TIME; TAYLOR METHOD;

ALGORITHMS; COMPUTER SIMULATION; CONFIDENCE INTERVALS; COST-BENEFIT ANALYSIS; HUMANS; MODELS, STATISTICAL; PROSPECTIVE STUDIES;

EID: 84863150175     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2010.544437     Document Type: Article

References (50)

1. Bang, H. (2005). Medical cost analysis: Application to colorectal cancer data from the SEER Medicare database. Contemporary Clinical Trials 26:586-597. (Pubitemid 41242403)
2. Bang, H., Tsiatis, A. A. (2000). Estimating medical costs with censored data. Biometrika 87:329-343.
3. Birch, S., Gafni, A. (2006). Information created to evade reality (ICER): Things we should not look to for answers. Pharmacoeconomics 24:1121-1131. (Pubitemid 44683368)
4. Blackhouse, G., Briggs, A. H., O'Brien, B. J. (2002). A note on the estimation of confidence intervals for cost-effectiveness when costs and effects are censored. Medical Decision Making 22:173-177. (Pubitemid 34246131)
5. Briggs, A., Fenn, P. (1997). Trying to do better than average: A commentary on 'statistical inference for cost-effectiveness ratios.' Health Economics 6:491-495. (Pubitemid 27474917)
6. Briggs, A. H., Gray, A. M. (1999). Handling uncertainty in economic evaluations of healthcare interventions. British Medical Journal 319:635-638. (Pubitemid 29414568)
7. Briggs, A. H., Wonderling, D. E., Mooney, C. Z. (1997). Pulling cost-effectiveness analysis up by its bootstraps: A non-parametric approach to confidence interval estimation. Health Economics 6:327-340. (Pubitemid 27384638)
8. Briggs, A. H., Mooney, C. Z., Wonderling, D. E. (1999). Constructing confidence intervals for cost-effectiveness ratios: an evaluation of parametric and non-parametric techniques using Monte Carlo simulation. Statistics in Medicine 18:3245-3262.
9. Chaudhary, M. A., Stearns, S. C. (1996). Estimating confidence intervals for costeffectiveness ratios: An example from a randomized trial. Statistics in Medicine 15:1447-1458. (Pubitemid 26242553)
10. Dinh, P., Zhou, X. H. (2006). Nonparametric statistical methods for cost-effectiveness analyses. Biometrics 62:576-588. (Pubitemid 43926664)
11. Efron, B., Tibshirani, R. J. (1996). An Introduction to the Bootstrap. New York: Chapman & Hall.
12. Fan, M. Y., Zhou, X. H. (2007). A simulation study to compare methods for constructing confidence intervals for the incremental cost-effectiveness ratio. Health Services Outcomes Research Method 7:57-77.
13. Fieller, E. C. (1954). Some problems in interval estimation. Journal of the Royal Statistical Society, Series B 16:175-185.
14. Gafni, A., Birch, S. (2006). Incremental cost-effectiveness ratios (ICERs): The silence of the lambda. Social Science and Medicine 62:2091-2100.
15. Gardiner, J., Hogan, A., Holmes-Rovner, M., Rovner, D., Griffith, L., Kupersmith, J. (1995). Confidence intervals for cost-effectiveness ratios. Medical Decision Making 15:254-263.
16. Gardiner, J. C., Huebner, M., Etton, J., Bradley, C. J. (2001). On parameter confidence intervals for the cost-effectivness ratio. Biometrical Journal 43:283-296.
17. Gardiner, J. C., Bradley, C. J., Huebner, M. (2000). The cost-effectiveness ratio in the analysis of health care programs. In: Rao, C. R., Sen, P. K., eds. Handbook of Statistics, Bioenvironmental and Public Health Statistics 18. New York: North-Holland, pp. 841-869.
18. Gardiner, J., Homes-Rovner, M., Goddeeris, J., Rovner, D., Kupersmith, J. (1999). Covariate-adjusted cost-effectiveness ratios. Journal of Statistical Plannning and Inference 75:291-304.
19. Gardiner, J. C., Liu, L., Luo, Z. (2008). Estimating of medical costs from a transition model. In: Balakrishnan, N., Pena, E., Silvapulle, M., eds. Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor P. K. Sen; Vol. 1. Beachwood, Ohio: Institute of Mathematical Statistics, pp. 350-363.
20. Gold, M. R., Siegel, J. E., Russell, L. B., Weinstein, M. C., eds. (1996). Cost-Effectiveness in Health and Medicine. New York: Oxford University Press.
21. Hartmann, M., Orlin, J. (1993). Finding minimum cost to time ratio cycles with small integral transit times. Networks 23:567-574.
22. Hershey, J. C., Asch, D. A., Jepson, C., Baron, J., Ubel, P. A. (2003). Incremental and average cost-effectiveness ratios: Will physicians make a distinction? Risk Analysis 23:81-89. (Pubitemid 36255423)
23. Hoch, J. S. (1999). An illustration of a current debate in cost-effectiveness analysis: Average cost-effectiveness ratios vs. incremental cost effectiveness ratios. Abstract Book Association for Health Services Research Meeting 16:348-349.
24. Hoch, J. S., Dewa, C. S. (2008). A clinician's guide to correct cost-effectiveness analysis: Think incremental not average. Canadian Journal of Psychiatry 53:267-274. (Pubitemid 351838521)
25. Horvitz, D. G., Thompson, D. J. (1952). A generalization of sampling without replacement from a finite universe. Journal of the American Statistical Association 47:663-685.
26. Huang, Y. (2009). Cost analysis with censored data. Medical Care 47:S115-S119.
27. Kaplan, E. L., Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association 53:457-481.
28. Klein, J. P., Moeschberger, M. L. (1997). Survival Analysis. New York: Springer-Verlag.
29. Laska, E. M., Meisner, M., Siegel, C. (1997). Statistical inference for cost-effectiveness ratios. Health Economics 6:229-242. (Pubitemid 27296587)
30. Laska, E. M., Meisner, M., Siegel, C. (1997). The usefulness of average cost-effectiveness ratios. Health Economics 6:497-504.
31. Lin, D. Y. (2000). Linear regression analysis of censored medical costs. Biostatistics 1:35-47.
32. Lin, D. Y., Feuer, E. J., Etzioni, R., Wax, Y. (1997). Estimating medical costs from incomplete follow-up data. Biometrics 53:419-434. (Pubitemid 27262208)
33. Moss, A. J., Hall, W. J., Cannom, D. S., Daubert, J. P., Higgins, S. L., Klein, H., Levine, J. H., Saksena, S., Waldo, A. L., Wilber, D., Brown, M. W., Heo, M. (1996). Improved survival with an implanted defibrillator in patients with coronary disease at high risk for ventricular arrhythmia. New England Journal of Medicine 335:1933-1940. (Pubitemid 26428217)
34. Mushlin, A. I., Hall, W. J., Zwanziger, J., Gajary, E., Andrews, M., Marron, R., Zou, K. H., Moss, A. J. (1998). The cost-effectiveness of automatic implantable cardiac defibrillators: Results from MADIT. Circulation 97:2129-2135. (Pubitemid 28262120)
35. Neyman, J., Pearson, E. (1933). On the problem of the most efficient tests of statistical hypotheses. Philosophical Transactions of the Royal Society of London. Series A 231:289-337.
36. Obenchain, R. L. (1999). Resampling and multiplicity in cost-effectiveness inference. Journal of Biopharmaceutical Statistics 9:563-582. (Pubitemid 29535948)
37. O'Hagan, A., Stevens, J. W. (2004). On estimators of medical costs with censored data. Journal of Health Economics 23:615-625. (Pubitemid 38569541)
38. Polsky, D., Glick, H. A., Willke, R., Schulman, K. (1997). Confidence intervals for cost-effectiveness ratios: a comparison of four methods. Health Economics 6:243-252. (Pubitemid 27296588)
39. Raikou, M., McGuire, A. (2004). Estimating medical care costs under conditions of censoring. Journal of Health Economics 23:443-470. (Pubitemid 38569533)
40. Robins, J. M., Rotnitzky, A., Zhao, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association 89:846-866.
41. Satten, G. A., Datta, S. (2001). The Kaplan-Meier estimator as an inverse-probability-of censoring weighted average. The American Statistician 55:207-210.
42. Siegel, J. E., Weinstein, M. C., Russell, L. B., Gold, M. R. (1996). Recommendations for reporting cost-effectiveness analyses. Panel on cost-fffectiveness in health and medicine. Journal of the American Medical Association 276:1339-1341. (Pubitemid 26346934)
43. Wagner, D. H. (1969). Nonlinear functional versions of the Neyman-Pearson lemma. SIAM Review 11:52-65.
44. Wang, H., Zhao, H. (2008). A study on confidence intervals for incremental cost-effectiveness ratios. Biometrical Journal 50:505-514.
45. Weinstein, M. C., Stasson, W. B. (1977). Foundations of cost-effectiveness analysis for health and medical practice. New England Journal of Medicine 296:716-721. (Pubitemid 8066534)
46. Willan, A. R., Briggs, A. H. (2006). Statistical Analysis of Cost-Effectiveness Data. Chichester, England: John Wiley & Sons.
47. Willan, A. R., Briggs, A. H., Hoch, J. S. (2004). Regression methods for covariate adjustment and subgroup analysis for non-censored cost-effectiveness data. Health Economics 13:461-475. (Pubitemid 38660395)
48. Zhao, H., Bang, H., Wang H., Pfeifer, P. E. (2007). On the equivalence of some medical cost estimators with censored data. Statistics in Medicine 26:4520-4530. (Pubitemid 47534695)
49. Zhao, H., Tian, L. (2001). On estimating medical cost and incremental cost-effectiveness ratios with censored data. Biometrics 57:1002-1008. (Pubitemid 33108090)
50. Zhao, H., Wang, H. (2010). Cost and cost-effectiveness analysis with censored data. In: Faries, D. E., Leon, A. C., Haro, J. M., Obenchain, R. L., eds. Analysis of Observational Health-Care Data Using SAS. Cary, NC: SAS Press Series, pp. 363-382.