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Title | 藥劑生體可用及相等性在兩個單尾檢定下樣本數之研究 Sample Size Determination for the Two One-Sided Tests Procedure in Bioavailability/Bioequivalence |
Creator | 吳嘉翰 Wu, Chia-Han |
Contributor | 林慧 Lin, Huey 吳嘉翰 Wu, Chia-Han |
Key Words | 樣本數 檢測能力 生體可用 生體相等 交叉實驗設計 Sample size Power Bioavailability Bioequivalence Crossover |
Date | 1996 |
Date Issued | 28-Apr-2016 11:48:40 (UTC+8) |
Summary | 藥劑生體可用及相等試驗,對於藥品的研發佔有非常重要之地位.如何在各種交叉實驗設計中選取適當的樣本,以達到我們要求的檢測能力,是本文的主要目的.Liu and chow(1992a)根據Schuirmann(1987)的區間假設檢定以正負20決策準則,針對二乘二交叉實驗設計,提出了一個簡易的樣本數計算方法.本文將對高階交叉實驗設計之樣本數計算方法,做進一步的研究. |
參考文獻 | 1.林慧. 淺談統計與臨床試驗,數學傳播,l 9 卷第2 期,民國八十四年六月, 22-28 。 2. 周賢忠,林慧. 藥劑生體互用:回顧與展望,中國統計學報,32 卷第2期,民國八十三年六月,179-196. 3. Anderson S, Hauck WW. A new procedure for testing equivalence in comparative bioavailability and other clinical trials. Comm stat. Theory Methods. 12:2663-2692, 1983. 4. Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequiva-lence Studies. New York: Marcel Dekker; 1992. 5. Chow SC, Shao J. An alternative approach for assessment of bioequivalence between two formulations of a drug. Biometrical J. 32:969-976, 1990. 6. Chow SC, Liu JP.Recent statistical developments in bioequivalence trials - a review of the FDA Guidance.Drug Information J. 28:851- 864,l994. 7. Cornell R G. The evaluation of bioequivalence using nonparametric procedures. Comm Stat. Theory Methods. 19:4153-4165,1990. 8. FDA. Guidance on Statistical Procedures for Bioequivalence Studies Using a Standard Two-treatment Crossover Design. Division of Bioequivalence,Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, Maryland, July 1,1992. 9. Grieve AP. A Bayesian analysis of the two-period crossover design for clinical trails. Biometrics. 41 :979-990, 1985. 10. Hauschke D, Steinijans VW, Diletti E. A distribution-free procedure for the statistical analyses of bioequivalence studies. Int J Clin Pharmacol, Ther, Toxicol. 28:72-78,1990. 11. Jones B, Kenward MG. Design and Analysis of Cross-Over Trials. New York and London: Chapman and Hall; 1989. 12. Kershner RP, Federer, WT. Two-treatment crossover design for estimating a variety of effects. J Amer Statist Assoc 76:612-618, 1981. 13. Phillips KF. Power of the two one-sided tests procedtrre in bioequivalence. J Pharmacokin Biopharm. 18:137-144,1990. 14. Lasserre V. Determination of optimal designs using linear models in crossover trials. Statistics in Medicine.lO:909-924,1991. 15. Laska EM,Meisner M, Kuslmer HB. Optimal crossover designs in the presence of carryover effects. Biometrics. 39:1087-1091, 1983. 16. Liu JP. Bioequivalence and intrasubject variability. J Biopharm Stat. 1:205-219, 1991. 17. Liu JP, Chow SC.On power calculation of Schuinnann`s two onesided tests procedure in bioequivalence. J Pharmacokin Biopharm. 20: 10 1-104,1992a. 18. Liu JP, Chow SC. On assessment of bioequivalence under a higherorder crossover design. J Biopharma Stat. 2:239-256, 1992c. 19. Mandallaz D, Mau J. Comparison of different methods for decisiommaking in bioequivalence assessment. Biometrics. 37:213-222,1981. 20. Rodda BE, Davis RL. Determining the probability of an important difference in bioavailability. Clin Pharmacol Ther. 28:247-252,1980. 21. Schuinnann DJ.On hypothesis testing to determine if the mean of a normal distribution is continued in a known interval. Biometrics,37:617,1981. 22. Schuirmann DJ. A comparison of the two one-sided tests procedure and the power approach for assessing the bioequivalence of average bioavailability. J pharmacokin Biopharm.l5:657-680,1987. 23. Westlake WJ. Symmetrical confidence intervals for bioequivalence trials. Biometrics. 32:741-774,1976. |
Description | 碩士 國立政治大學 統計學系 83354006 |
資料來源 | http://thesis.lib.nccu.edu.tw/record/#B2002002793 |
Type | thesis |
dc.contributor.advisor | 林慧 | zh_TW |
dc.contributor.advisor | Lin, Huey | en_US |
dc.contributor.author (Authors) | 吳嘉翰 | zh_TW |
dc.contributor.author (Authors) | Wu, Chia-Han | en_US |
dc.creator (作者) | 吳嘉翰 | zh_TW |
dc.creator (作者) | Wu, Chia-Han | en_US |
dc.date (日期) | 1996 | en_US |
dc.date.accessioned | 28-Apr-2016 11:48:40 (UTC+8) | - |
dc.date.available | 28-Apr-2016 11:48:40 (UTC+8) | - |
dc.date.issued (上傳時間) | 28-Apr-2016 11:48:40 (UTC+8) | - |
dc.identifier (Other Identifiers) | B2002002793 | en_US |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/87307 | - |
dc.description (描述) | 碩士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 統計學系 | zh_TW |
dc.description (描述) | 83354006 | zh_TW |
dc.description.abstract (摘要) | 藥劑生體可用及相等試驗,對於藥品的研發佔有非常重要之地位.如何在各種交叉實驗設計中選取適當的樣本,以達到我們要求的檢測能力,是本文的主要目的.Liu and chow(1992a)根據Schuirmann(1987)的區間假設檢定以正負20決策準則,針對二乘二交叉實驗設計,提出了一個簡易的樣本數計算方法.本文將對高階交叉實驗設計之樣本數計算方法,做進一步的研究. | zh_TW |
dc.description.tableofcontents | 第一章 緒論..........1 第一節 前言..........1 第二節 藥劑生體可用及相等之評估..........2 第三節 藥劑生體相等性試驗之實驗設計及參數..........3 第四節 研究動機及目的..........3 第二章 二乘二交叉實驗設樣本數之探討..........5 第一節 二乘二交叉實驗設計..........5 第二節 區間假設檢定..........7 第三節 SCHUIRMANN兩個單位檢定..........8 第四節 二乘二交叉實驗設計之樣本個數..........10 第三章 高階交叉實驗設計..........16 第一節 四乘二交叉實驗設計..........17 第二節 二乘三交叉實驗設計..........20 第三節 二乘四交叉實驗設計..........23 第四節 四乘四交叉實驗設計..........26 第五節 WILLIAM六乘三交叉實驗設計..........29 第六節 WILLIAM四乘四交叉實驗設計..........31 第四章 高階交叉實驗設計之樣本個數..........35 第一節 樣本計算公式..........35 第二節 檢測能力與樣本個數..........38 第五章 模擬驗證..........55 第一節 電腦模擬的目的..........55 第二節 電腦模擬過程..........55 第三節 模擬結果..........56 第六章 結論..........62 附錄..........63 參考文獻..........72 | zh_TW |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#B2002002793 | en_US |
dc.subject (關鍵詞) | 樣本數 | zh_TW |
dc.subject (關鍵詞) | 檢測能力 | zh_TW |
dc.subject (關鍵詞) | 生體可用 | zh_TW |
dc.subject (關鍵詞) | 生體相等 | zh_TW |
dc.subject (關鍵詞) | 交叉實驗設計 | zh_TW |
dc.subject (關鍵詞) | Sample size | en_US |
dc.subject (關鍵詞) | Power | en_US |
dc.subject (關鍵詞) | Bioavailability | en_US |
dc.subject (關鍵詞) | Bioequivalence | en_US |
dc.subject (關鍵詞) | Crossover | en_US |
dc.title (題名) | 藥劑生體可用及相等性在兩個單尾檢定下樣本數之研究 | zh_TW |
dc.title (題名) | Sample Size Determination for the Two One-Sided Tests Procedure in Bioavailability/Bioequivalence | en_US |
dc.type (資料類型) | thesis | en_US |
dc.relation.reference (參考文獻) | 1.林慧. 淺談統計與臨床試驗,數學傳播,l 9 卷第2 期,民國八十四年六月, 22-28 。 2. 周賢忠,林慧. 藥劑生體互用:回顧與展望,中國統計學報,32 卷第2期,民國八十三年六月,179-196. 3. Anderson S, Hauck WW. A new procedure for testing equivalence in comparative bioavailability and other clinical trials. Comm stat. Theory Methods. 12:2663-2692, 1983. 4. Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequiva-lence Studies. New York: Marcel Dekker; 1992. 5. Chow SC, Shao J. An alternative approach for assessment of bioequivalence between two formulations of a drug. Biometrical J. 32:969-976, 1990. 6. Chow SC, Liu JP.Recent statistical developments in bioequivalence trials - a review of the FDA Guidance.Drug Information J. 28:851- 864,l994. 7. Cornell R G. The evaluation of bioequivalence using nonparametric procedures. Comm Stat. Theory Methods. 19:4153-4165,1990. 8. FDA. Guidance on Statistical Procedures for Bioequivalence Studies Using a Standard Two-treatment Crossover Design. Division of Bioequivalence,Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, Maryland, July 1,1992. 9. Grieve AP. A Bayesian analysis of the two-period crossover design for clinical trails. Biometrics. 41 :979-990, 1985. 10. Hauschke D, Steinijans VW, Diletti E. A distribution-free procedure for the statistical analyses of bioequivalence studies. Int J Clin Pharmacol, Ther, Toxicol. 28:72-78,1990. 11. Jones B, Kenward MG. Design and Analysis of Cross-Over Trials. New York and London: Chapman and Hall; 1989. 12. Kershner RP, Federer, WT. Two-treatment crossover design for estimating a variety of effects. J Amer Statist Assoc 76:612-618, 1981. 13. Phillips KF. Power of the two one-sided tests procedtrre in bioequivalence. J Pharmacokin Biopharm. 18:137-144,1990. 14. Lasserre V. Determination of optimal designs using linear models in crossover trials. Statistics in Medicine.lO:909-924,1991. 15. Laska EM,Meisner M, Kuslmer HB. Optimal crossover designs in the presence of carryover effects. Biometrics. 39:1087-1091, 1983. 16. Liu JP. Bioequivalence and intrasubject variability. J Biopharm Stat. 1:205-219, 1991. 17. Liu JP, Chow SC.On power calculation of Schuinnann`s two onesided tests procedure in bioequivalence. J Pharmacokin Biopharm. 20: 10 1-104,1992a. 18. Liu JP, Chow SC. On assessment of bioequivalence under a higherorder crossover design. J Biopharma Stat. 2:239-256, 1992c. 19. Mandallaz D, Mau J. Comparison of different methods for decisiommaking in bioequivalence assessment. Biometrics. 37:213-222,1981. 20. Rodda BE, Davis RL. Determining the probability of an important difference in bioavailability. Clin Pharmacol Ther. 28:247-252,1980. 21. Schuinnann DJ.On hypothesis testing to determine if the mean of a normal distribution is continued in a known interval. Biometrics,37:617,1981. 22. Schuirmann DJ. A comparison of the two one-sided tests procedure and the power approach for assessing the bioequivalence of average bioavailability. J pharmacokin Biopharm.l5:657-680,1987. 23. Westlake WJ. Symmetrical confidence intervals for bioequivalence trials. Biometrics. 32:741-774,1976. | zh_TW |