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姓名 張稚辰(Chih-chen Chang)  查詢紙本館藏   畢業系所 統計研究所
論文名稱 根據聯結邊際廣義伽瑪分配的關聯結構函數研究成本效益比率
(A study of cost-effectiveness ratio based on Copula functions with generalized gamma marginal distributions)
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摘要(中) 本文回顧近年來針對醫療成本效益分析的研究,比較傳統上所使用的方法如成本效益平面(cost-effectiveness plane)、成本效益增量比率(incremental cost-effectiveness ratio,記做ICER)、淨健康利益增量(incremental net health benefit,記做INHB)的優劣及特色。然而本文認為傳統方法具有不易解釋以及無法同時比較多個治療方案成本效益的困擾,因此提出單一治療方案成本效益比率(ratio of cost-effectiveness ratio,記做RCE)的概念做為新的評量準則。本研究中收集的資料為每一病患的存活時間和接受治療所付出的醫療成本,是為成對資料。由於在實務上,成本及存活時間大多為右偏分布,在考量兩者間具有相關性的情況下,提出使用適當的關聯結構函數建構二元廣義伽瑪分配。然後在此架構下利用最大概似法估計RCE且提供建構RCE信賴區間方法。本文在不同的關聯結構函數、相關係數、設限比例等條件下,藉由模擬研究探討本文所提供建構信賴區間方法的覆蓋機率、長度以及信賴上、下界的錯誤覆蓋率表現,並於最後提出一例子作為說明。
摘要(英) Reviewing researches in last decades on medical cost-effectiveness analysis (CEA), we analyze traditional measurements, e.g. cost-effectiveness plane, incremental cost-effectiveness ratio(ICER), and incremental net health benefit(INHB). These measurements are difficult to interpret and to apply for comparing multiple diagnostic methods. Therefore, we suggest the ratio of cost-effectiveness(RCE) as a new criteria. Which is the ratio of the cost of taking a certain medical therapy for a patient and the patients’ survival time. In practical cases, the distributions of the correlated cost and survival time are generally right-skewed. Therefore, we employ appropriate copula to construct the joint generalized gamma distribution. Under the joint distribution, we find the maximum likelihood method estimate and hence the confidence interval for the RCE. The results of a simulation investigation of the coverage probability, interval length, lower and upper error rate of confidence interval for different censoring probabilities and degrees of correlation in several possible copulas functions are reported. Finally, the proposed method is illustrated by using an example.
關鍵字(中) ★ 成本效益增量比率
★ 淨健康利益增量
★ 關聯結構函數
★ 廣義伽瑪分配
★ 成本效益分析
★ 成本效益平面
關鍵字(英) ★ cost-effectiveness plane
★ ICER
★ INHB
★ generalized gamma distribution
★ Copula functions
★ CEA
論文目次 摘要.......................................i
Abstract..................................ii
致謝辭...................................iii
目錄......................................iv
表目錄.....................................v
圖目錄....................................vi
第一章 研究動機與目的......................1
第二章 文獻回顧............................7
2.1 建構成本效益增量比率信賴區間的方法.....7
2.2 關聯結構函數..........................11
第三章 統計方法...........................17
3.1 單一治療方案本益比....................17
3.2 二元廣義伽瑪分配之下的概似函數........19
3.3 本益比信賴區間........................22
第四章 模擬研究...........................27
4.1 模擬方法..............................27
4.2 模擬結果..............................28
第五章 實例分析...........................31
第六章 結論及未來研究.....................33
參考文獻..................................35
附錄A.....................................37
附錄B.....................................40
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2. Briggs, A. H., Mooney, C. Z. and Wonderling, D. E.(1990).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.
3. Cox, C., Chu, H., Schneider, M. F. and Munoz, A.(2007).Parametric survival analysis and taxonomy of hazard functions for the generalized gamma distribution. Statistics in Medicine 26, 4352-4374.
4. Chaudhary, M. A., Stearns, S. C.(1996)Estimating confidence intervals for cost-effectiveness ratios: An example from a randomized trial. Statistics in Medicine 15, 1447-1458.
5. Dinh, P. and Zhou, X.H.(2006).Nonparametric statistical method for cost-effectiveness analyses. Biometrics 62, 576-588.
6. Desu, M. M. and Raghavarao.(2003).Nonparametric Statistical Methods for Complete and Censored Data. Chapman and Hall: New York.
7. Efron, B. and Tibshirani, R.(2003). An Introduction to the Bootstrap. Chapman and Hall: New York.
8. Gomes, O., Combes, C. and Dussauchoy, A.(2008). Parameter estimation of the generalized gamma distribution. Mathematics and Computers in Simulation 79, 955-963.
9. Gardiner, J. C., Huebner, M., Jetton, J. and Bradley, C. J.(2001). On parametric confidence intervals for the cost-effectiveness ratio. Biometrical Journal 43, 283-296.
10. Heitjan, D. F.(2000). Fieller’s method and net health benefits. Health Economics 9, 327-335.
11. Laska, E. M., Meisner, M. and Siegel, C.(1997). Statistical inference for cost-effectiveness ratios. Health Economics 6, 229–242.
12. Nelsen, R. B. (2006). An Introduction to Copulas 2nd ed. Springer Science: New York.
13. Polsky, D., Glick, H. A., Willke, R. and Schulman, K.(1997). Confidence intervals for cost-effectiveness ratios : A comparison of four method. Health Economics 6, 243-252.
14. Stinnett, A. A., Mullahy, J.(1998). Net health benefits: A new framework for the analysis of uncertainty in cost-effectiveness analysis. Medical Decision Making 18, 68-80.
15. Stacy, E.W.(1962). A generalization of the gamma distribution. Annals of Mathematical Statistics 33, 1187-1192.
16. Wang, H. K. and Zhao, H. W. (2008). A study on confidence intervals for incremental cost-effectiveness ratios. Biometrical Journal 50, 505-514.
17. Willan, A. R., and O’Brien, B. J.(1996). Confidence intervals for cost-effectiveness ratios: An application of Fieller's theorem. Health Economics 5, 297-305.
18. Willan, A. R. and Briggs, A. H. (2006). Statistical Analysis of Cost-effectiveness Data (Statistics in Practice). Wiley: Chichester.
19. Zou, G.Y., Taleban, J. and Hou, C.Y.(2009). Confidence interval estimation for lognormal data with application to health economics. Computational Statistics and Data Analysis 53, 3755-3746.
指導教授 陳玉英(Yuh-ing Chen) 審核日期 2011-6-23
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