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研究生:朱良元
研究生(外文):Liang-Yuan Ju
論文名稱:二元配對資料下根據邊際機率比率建構正確非劣性檢定之研究
論文名稱(外文):A Study of Exact Noninferiority Tests Based on Ratio of Marginal Probabilities for Matched-pair Data
指導教授:陳玉英陳玉英引用關係
指導教授(外文):Yuh-Ing Chen
學位類別:碩士
校院名稱:國立中央大學
系所名稱:統計研究所
學門:數學及統計學門
學類:統計學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:中文
論文頁數:71
中文關鍵詞:非劣性檢定二元配對資料
外文關鍵詞:noninferiority testmatched-pair data
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在二元配對資料中,經常根據受測對象接受新舊兩種處理的成功機率之差異的信賴下界或上界,檢定新處理相對於標準處理是否具備非劣性或優越性。本文考慮以新舊兩種處理邊際成功機率比率的近似信賴上界,進行非劣性檢定,並應用Buehler方法修正邊際機率比率的四種近似信賴上界,使其型I誤差率不高於顯著水準,獲得此一比率的正確信賴上界。透過數值分析及模擬研究,在適當的評估標準之下,修正後的信賴域皆優於修正前的信賴域。本文以一筆資料說明所提修正方法在非劣性或優越性檢定的應用。
To that for the non-inferiority of superiority of a new treatment relative to the standard based on binary matched pairs data, the lower or upper bond for the difference between the two probabilities of success is usually constructed. In this article, we consider that for the non-inferiority of a new treatment relative to the standard the approximate upper bond for the ratio between the two probabilities of success and modify these approximate upper confidence bounds for the ratio of the two probabilities according to the Buehler method. Therefore, we obtain these exact upper confidence bounds for the ratio that can be applied to testing for the non-inferiority and superiority. Moreover, the modified confidence bounds are all better than the original ones for holding their confidence levels. Finally, we demonstrate the application of the propose confidence bounds based on a numerical data set.
目 錄
摘 要 i
ABSTRACT ii
目 錄 iii
表 目 次 iv
圖 目 次 v
第一章 研究目的和動機 1
第二章 文獻回顧 6
第三章 統計方法 16
第四章 數值方法 24
第五章 實例分析 59
第六章 結論與未來展望 62
參考文獻

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[2]Buehler, R. J. (1957). Confidence Intervals for the Product of Two Binomial Parameters. Journal of the American Statistical Association, 52, 482- 493.

[3]D. Katz, J. Baptista, S. P. Azen, M. C. Pike (1978). Obtaining Confidence Intervals for the Risk Ratio in Cohort Studies. Biometrics, 34, 469-474.

[4]Hsueh, H. M., Liu, J. P., and Chen, J. J. (2001). Unconditional Exact Tests for Equivalence or Non-Inferiority for Paired Binary Endpoints. Biometrics, 57, 478-483.

[5]Jobe, J. M. and David, H. T. (1992). Buehler Confidence Bounds for a Reliability-Maintainability Measure. Technometrics, 34, 214-222.

[6]Lloyd, C. J. and Kabaila, P. (2003). On The Optimality and Limitations of Buehler Bounds. Australian and New Zealand Journal of Statistics, 45, 167-174.

[7]Lloyd, C. J. and Moldovan, M. V. (2007). Exact One-Sided Confidence Limits for the Difference Between Two Correlated Proportions. Statistics in Medicine, 26, 3369–3384.

[8]Lachenbruch, P. A. and Lynch, C. J. (1998). Assessing Screening Tests: Extentions of McNemar’s Test. Statistics in Medicine, 17, 2207-2217.

[9]Lu, Y. and Bean, J. A. (1995). On the Sample Size for One-Sided Equivalence of Sensitivities Based upon McNemar’s Test. Statistics in Medicine, 14, 1831-1839.

[10]McNemar, Q. (1947). Note on the Sampling Error of the Differences Between Corrected Proportions or Percentages. Psychometrika, 12, 153-157.

[11]Nam, J. M. (1997). Establishing Equivalence of Two Treatments and Sample Size Requirements in Matched-Pairs Design. Biometrics, 53, 1422-1430.

[12]Nam, J. M. and Blackwelder, W. C. (2002). Analysis of the Ratio of Marginal Probabilities in a Matched-Pair Setting. Statistics in Medicine, 21, 689–699.

[13]Tang, M. L., Tang, N. S., Chan, I. S. F., and Chan, B. P. S.(2002). Sample Size Determination for Establishing Equivalence Noninferiority via Ratio of Two Proportions in Matched-Pair Design. Biometrics 58, 957–963.

[14]Tang, N. S., Tang, M. L. and Chan, I. S. F. (2003). On Tests of Equivalence via Non-Unity Relative risk for Matched-Pair Design. Statistics in Medicine, 22, 1217-1233.

[15]Tang, M. L., Tang, N. S., Chan, I. S. F., and Chan, B. P. S. (2003).Statistical Analysis of Noninferiority Trials with a Rate Ratio in Small-Sample Matched-Pair Designs. Biometrics 59, 1170–1177.

[16]Toshiro Tango (1998). Equivalence Test and Confidence Interval for the Difference in Proportions for the Paired-Sample Design. Statistics in Medicine, 17, 891-908.
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