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  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 流行病學與預防醫學研究所
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25090
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???org.dspace.app.webui.jsptag.ItemTag.dcfield???ValueLanguage
dc.contributor.advisor戴政
dc.contributor.authorKun-Yi Linen
dc.contributor.author林昆億zh_TW
dc.date.accessioned2021-06-08T06:02:03Z-
dc.date.copyright2007-08-08
dc.date.issued2007
dc.date.submitted2007-07-26
dc.identifier.citation1. 戴政(2002)遺傳流行病學—基因定位之遺傳設計與分析方法。臺北:藝軒圖書出版社。
2. 陳光琦(2003)三元體家庭之一般化連鎖不平衡檢定分析。臺灣大學流行病學研究所博士論文。
3. 王雅婷(2004)家族相關性研究之檢定力監測。臺灣大學流行病學研究所碩士論文。
4. 王俊毅(2005)利用親本三元體家庭之概似函數建立數量性狀基因座定位之穩健相關檢定。臺灣大學流行病學研究所博士論文。
5. Bickel, Peter J. and Doksum, Kjell. (1997) Mathematical Statistic. Prentice Hall.
6. Bart Spiessens, Emmanuel Lesaffre, Geert Verbeke, KyungMann Kim, David L DeMets. (2000) An overview of group sequential methods in longitudinal clinical trials. Stat Methods Med Res 9: 497-515
7. Casella, George and Berger, R L. (2002) Statistical Inference. DUXBURY.
8. Kruglyak L. (1999) Prospects for whole-genomelinkage disequilibrium mapping of common disease genes. Nat Genet 22 (2): 139-144
9. Lan KKG, DeMets DL. (1983) Discrete sequential boundaries for clinical trials. Biometrika 70: 659-663
10. Lan KKG, Lanchin JM. (1990) Implementation of group sequential logrank tests in a maximum duration trial. Biometrics 46: 759-770.
11. Neyman, J. and Pearson, E. S. (1933) On the problem of the most efficient test of statistical hypotheses. Philos. Trans. Roy. Soc. Ser. A. 231 289-337.
12. O’Brien PC, Fleming TR. (1979) A multiple testing procedure for clinical trials. Biometrics 35: 549-556
13. Pocock SJ. (1977) Group sequential methods in the design and analysis of clinical trials. Biometrika 64: 191-199
14. Slud E, Wei LJ.(1982) Two-sample repeated significance tests based on the modified Wicoxon statistic. Journal of the American Staitstical Association 77: 862-868
15. Spielman RS, Mcginnis RE, Ewens WJ. (1993) Transmission test for linkage disequilibrum: The insulin gene region and insulin-dependent mellitus (IDDM) Am J Hum Genet 52: 506-516
16. Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM, Sirotkin K. (2001) dbSNP: the NCBI database of genetic variation. Nucleic Acids Res 29: 308-311
17. Terwilliger JD, Ott JJ (1992) Ahaplotype-based ‘haplotype relative risk’ approach to detecting allelic association. Hum Hered 42: 337-346.
18. Tai JJ and Song WH. (1991) Linkage disequilibrium and linkage information from one-child families. Hum Hered. 41:316-346
19. Wald, A. (1947) Sequential Analysis. Wiley, New York. Reprinted by Dover Publications Inc.
20. Zakkula Govindarajulu(2004) Sequential Statistics. World Scientific.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25090-
dc.description.abstract本研究使用父、母、染病孩子三元體的資料結構,分別利用統合參數概似函數及傳遞不平衡檢定,來進行連鎖分析。考慮在需要使用逐次過程的情況下,給定特定的疾病基因頻率在不同的遺傳模式下,根據本研究模擬分析顯示,使用結合統合參數概似函數和逐次機率比例檢定(SPRT)的統計量會比結合傳遞不平衡檢定(TDT)和逐次機率比例檢定的統計量到達判定界限所需的樣本數少。zh_TW
dc.description.abstractIn this paper, we use case-parent triad families as the data structure to demonstrate how to proceed sequential linkage analysis. We adopt two types of linkage methods, the unified-parameter likelihood method and the transmission/disequilibrium test (TDT) method, to implement this sequential test procedure. Under different genetic scenarios, our simulation studies show that the unified-parameter sequential likelihood method requires less sample sizes to reach the sequential decision boundary than the TDT sequential method.en
dc.description.provenanceMade available in DSpace on 2021-06-08T06:02:03Z (GMT). No. of bitstreams: 1
ntu-96-R94842006-1.pdf: 437821 bytes, checksum: cc79ec049c5257b9b97aba46bba9a15d (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents第一章 緒論 1
第二章 文獻回顧 8
第一節 傳遞不平衡檢定(TDT) 8
第二節 統合參數概似函數分析方法 12
2.1 隱性模式 13
第三節 逐次過程 16
3.1 常見的逐次調整期中檢定的顯著水準模式例子 16
3.1.1 Pocock(1977)and O’Brien-Fleming(1979) 16
3.1.2 Slud and Wei(1982) 17
3.1.3 Lan and DeMets(1983) 18
3.2 逐次機率比例檢定(SPRT) 19
第三章 研究方法 22
第一節 統合參數概似函數方法顯性模式推導 23
第二節 統合參數概似函數分析方法和逐次機率比例檢定合併方法 26
第三節 傳遞不平衡檢定(TDT)和逐次機率比例檢定合併方法 28
第四章 模擬 31
第一節 模擬設定 31
第二節 模擬結果 34
第五章 討論 38
參考文獻 40
附錄 42
附錄一 Neyman-Pearson Lemma (Casella, 2002) 42
附錄二 SPRT臨界值(boundary)的推導 (Zakkula, 2004) 44
附錄三 傳遞不平衡檢定(TDT)的推導 (Bickel and Doksum,1997) 46
附錄四 隱性模式下,固定交配型之下,統合參數傳遞機率推導 49
附錄五 顯性模式下,固定交配型之下,統合參數傳遞機率推導 55
dc.language.isozh-TW
dc.subject統合參數概似函數zh_TW
dc.subject樣本數zh_TW
dc.subject逐次機率比例檢定zh_TW
dc.subject傳遞不平衡檢定zh_TW
dc.subjecttransmission/disequilibrium testen
dc.subjectunified-parameter likelihooden
dc.subjectsample sizeen
dc.subjectsequential probability ratio testen
dc.title親子三元體相關分析在逐次連鎖不平衡檢定方法與逐次概似函數方法之比較zh_TW
dc.titleComparison between Sequential TDT method and Sequential likelihood method in Association Studies using Case-parent triad familiesen
dc.typeThesis
dc.date.schoolyear95-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳秀熙,張淑惠,鄭宗記
dc.subject.keyword樣本數,逐次機率比例檢定,傳遞不平衡檢定,統合參數概似函數,zh_TW
dc.subject.keywordsample size,sequential probability ratio test,transmission/disequilibrium test,unified-parameter likelihood,en
dc.relation.page70
dc.rights.note未授權
dc.date.accepted2007-07-27
dc.contributor.author-college公共衛生學院zh_TW
dc.contributor.author-dept流行病學研究所zh_TW
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