Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 農藝學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40983
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor劉仁沛(Jen-Pei Liu)
dc.contributor.authorHuei-Jyuan Wuen
dc.contributor.author吳惠娟zh_TW
dc.date.accessioned2021-06-14T17:10:08Z-
dc.date.available2013-07-30
dc.date.copyright2008-07-30
dc.date.issued2008
dc.date.submitted2008-07-26
dc.identifier.citationReference
[1] Chow, S.C. and Liu, J.P. (2000) Design and Analysis of Bioavailability and Bioequivalence Studies, 2nd Ed, Marcel Dekker, Inc. New York. Basel.
[2] NCCLS document EP6-A. (2003) Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline. Wayne, Pennsylvania 19807-1898 USA.
[3] International Conference on Harmonisation. (1994) ICH harmonised tripartite guideline, Q2A. Text on validation of analytical procedures. International Conference on Harmonisation, Geneva, Switzerland.
[4] International Conference on Harmonisation. (1996) ICH harmonised tripartite guideline, Q2B. Validation of analytical procedures: methodology. International Conference on Harmonisation, Geneva, Switzerland.
[5] Martin H. Kroll, Jens Prastgaard, Ellen Michaliszyn, and Patricia E. Styer. (2000) Evaluation of the Extent of Nonlinearity in Reportable Range Studies. Archives of Pathology and Laboratory Medicine: Vol. 124, No. 9, pp. 1331-1338.
[6] Timothy L. Schofield. (2000) Assay validation. In: Chow, S.C., Editor. Encyclopedia of biopharmaceutical statistics. Marcel Dekker, Inc. New York.
[7] Timothy L. Schofield. (2003) Assay validation. In: Chow, S.C., Editor. Encyclopedia of biopharmaceutical statistics. Marcel Dekker, Inc. New York, pp. 63-71.
[8] Bob Zhong, Chunfu Qiu, and Dejun Tang. (2003) Validation of Quantitative and Qualitative Assays. In: Chow, S.C., Editor. Encyclopedia of biopharmaceutical statistics. Marcel Dekker, Inc. New York.
[9] Weerahandi, S. (2004) Generalized Inference in Repeated Measures. John Wiley & Sons Inc.
[10] Hsieh, E., Hsiao, C.F., and Liu, J.P. (2008) Statistical Inference for Evaluating the Linearity in Assay Validation.
[11] Hanning J, Iyer H, and Patterson P. (2006) Fiducial Generalized Confidence Intervals. Journal of the American Statistical Association. 101:254-69.
[12] Robert V. Hogg, Allen Craig, and Joseph W. McKean.(2005) Introduction to Mathematical Statistics, 6th Ed, Prentice Hall.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40983-
dc.description.abstractAbstract
Linearity is one of the most important characteristics for evaluation of the accuracy in assay validation. The current statistical method for evaluation of the linearity recommended by the Clinical Laboratory Standard Institute (CLSI) guideline EP6-A was reviewed. The method directly compares the point estimates with the pre-specified allowable limit and completely ignores the sampling error of the point estimates. An alternative method for evaluation of linearity proposed by Kroll, et al. (2000) considers the statistical test procedure based on the average deviation from linearity (ADL). However this procedure is based on the inappropriate formulation of hypothesis for evaluation of the linearity. Consequently, the type I error rates of both current methods may be inflated for inference of linearity. Because any procedures for assessment of linearity should be based on the sampling distributions of the proposed test statistics, we propose a generalized pivotal quantity (GPQ) procedure. The method does not involve in any nuisance parameters. The simulation studies were conducted to empirically compare the size and power between current and proposed methods. The simulation results show that the proposed methods not only adequately control size but also provide sufficient power. A numeric example illustrates the proposed methods.
en
dc.description.provenanceMade available in DSpace on 2021-06-14T17:10:08Z (GMT). No. of bitstreams: 1
ntu-97-R95621209-1.pdf: 469443 bytes, checksum: 4a53459be751159f7d6c226da6818b4b (MD5)
Previous issue date: 2008
en
dc.description.tableofcontentsContents
1 Introduction 1
2 Literature Review 4
2.1 Experiment Design 4
2.2 Current Test Procedures 5
2.2.1 The Average Deviation from Linearity (ADL) 5
2.2.2 Corrected Kroll's Method 6
2.2.3 The Approved CLSI EP6-A Method 8
2.2.4 Hsieh's Method 9
3 Proposed Methods 11
3.1 Type I and Type II Errors in Evaluation of Linearity 11
3.2 Testing Hypothesis 12
3.3 The Multivariate Normal Distribution 13
3.4 Generalized Pivotal Quantity(GPQ) 15
4 Simulation Study 19
4.1 Parameter Combinations 19
4.2 Simulation Process 19
4.3 Simulation Results 20
5 Numerical Example 23
6 Summary and Discussion 25
6.1 Summary 25
6.2 Why We Have the Proposed Method 25
6.3 Why Linearity Is Important 26
Reference 27
Appendices 29
dc.language.isoen
dc.subject量化分析的實驗方法zh_TW
dc.subject允許區間zh_TW
dc.subject線性zh_TW
dc.subjectQuantitative analytical laboratoryen
dc.subjectLinearityen
dc.subjectAllowable Limiten
dc.title線性確效評估之統計方法的研究zh_TW
dc.titleA Study on Statistical Methods for Evaluation of Linearity in Assay Validationen
dc.typeThesis
dc.date.schoolyear96-2
dc.description.degree碩士
dc.contributor.oralexamcommittee季瑋珠(Wei-Chu Chie),廖振鐸(Chen-Tuo Liao)
dc.subject.keyword允許區間,線性,量化分析的實驗方法,zh_TW
dc.subject.keywordAllowable Limit,Linearity,Quantitative analytical laboratory,en
dc.relation.page40
dc.rights.note有償授權
dc.date.accepted2008-07-29
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept農藝學研究所zh_TW
顯示於系所單位:農藝學系

文件中的檔案:
檔案 大小格式 
ntu-97-1.pdf
  未授權公開取用
458.44 kBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved