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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 戴政 | |
| dc.contributor.author | Li-Chuan Chen | en |
| dc.contributor.author | 陳麗全 | zh_TW |
| dc.date.accessioned | 2021-06-08T04:59:09Z | - |
| dc.date.copyright | 2010-09-09 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-08-19 | |
| dc.identifier.citation | 1.
謝宗仁、陳麗全、黃崑明、戴政(2010) 列聯表基礎分布之重參數化方法-以2x2及3x3的列聯表為例說明。研究報告系列D(教育訓練)編號13，台灣大學公共衛生學院遺傳統計研究室。 2. Agresti A. A Model for Agreement between Ratings on an Ordinal Scale. Biometrics 1988; 44: 539-548. 3. Al-Reesi A, Stiell IG, Al-Zadjali N. Comparison of CT head interpretation between emergency physicians and neuroradiologists. European Journal of Emergency Medicine 2010. 4. Bartfay E, Donner A. The effect of collapsing multinomial data when assessing agreement. International Journal of Epidemiology 2000; 29: 1070-1075. 5. Bartfay E, Donner A. Statistical inferences for interobserver agreement studies with nominal outcome data. Journal of the Royal Statistical Society Series D-the Statistician 2001; 50: 135-146. 6. Bartfay E, Donner A. Statistical inferences for a twin correlation with multinomial outcomes. Statistics in Medicine 2001; 20: 249-262. 7. Bartfay E, Donner A. Statistical inferences for a twin correlation with nultinomial outcomes. Statistics in Medicine 2001; 20: 249-262. 8. Bartfay E, Donner A, Klar N. Testing the equality of twin correlations with multinomial outcomes. Annals of Human Genetics 1999; 63: 341-. 9. Becker S, Zaid KA, Faris EA. Screening for somatization and depression in Saudi Arabia: a validation study of the PHQ in primary care. International Journal of Psychiatry in Medicine 2002; 32: 271-283. 10. Bloch DA, Kraemer HC. 2 x 2 Kappa Coefficients: Measures of Agreement or Association. Biometrics 1989; 45: 269-287. 11. Casella G, Berger RL. Statistical Inference. Duxbury: California, 2002. 12. Chen JJ, Kodell RL, Howe RB, Gaylor DW. Analysis of trinomial responses from reproductive and developmental toxicity experiments. Biometrics 1991; 47: 1049-1058. 13. Cohen J. A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement 1960; 20: 37-46. 14. Cook RJ. Kappa in Encyclopedia of Biostatistics edited by Peter Armitage, Wiley: New York, 2005. 15. Feinstein AR, Cicchetti DV. High agreement but low Kappa: I. the problems of two paradoxes. Journal of Clinical Epidemiology 1990; 43: 543-549. 16. Fisher, RA. Statistical Methods for Research Workers. New York: Hafner, 1958. 17. Fleiss JL. The Design and Analysis of Clinical Experiments. Wiley: New York, 1986. 18. Fleiss JL, Levin B, Paik MC. Statistical Methods for Rates and Proportions. Wiley: New York, 2003. 19. Gong G, Samaniego FJ. Pseudo maximum likelihood estimation: theory and applications. Annals of Statistics 1981; 9: 861-869. 20. Goodman LA. Simple Models for the Analysis of Association in Cross-Classifications having Ordered Categories Journal of the American Statistical Association 1979; 74: 537-552. 21. Hui SL, Walter SD. Estimating the error rates of diagnostic tests. Biometrics 1980; 36: 167-171. 22. Klar N, Lipsitz SR, Ibrahim JG. An Estimating Equations Approach for Modelling Kappa. Biometrical Journal 2000; 42: 45-58. 23. Lancaster HO. The Structure of Bivariate Distributions. The Annals of Mathematical Statistics 1958; 29: 719-736. 24. Lancaster HO. Correlations and Canonical Forms of Bivariate Distributions. The Annals of Mathematical Statistics 1963; 34: 532-538. 25. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33: 159–174. 26. Plackett RL, Paul SR. Dirichlet models for square contingency tables. Communications in Statistics: Theory and Methods 1978; 7: 939 – 952. 27. Shoukri MM. Measures of Interobserver Agreement. CRC: New York, 2003. 28. Shoukri MM, Mian IUH. Maximum likelihood estimation of the kappa coefficient from bivariate logistic regression. Statistics in Medicine 1996; 15: 1409-1419. 29. Shoukri MM, Donner A. Efficiency considerations in the analysis of inter-observer agreement. Biostatistics 2001; 2: 323-336. 30. Shoukri MM, Donner D. Bivariate modeling of interobserver agreement coefficients. Statistics in Medicine 2009; 28: 430-440. 31. Wilks SS, Mathematical Statistics. Wiley: New York, 1962. 32. Williamson JM, Lipsitz SR, Manatunga AK. Modeling kappa for measuring dependent categorical agreement data. Biostatistics 2000; 1: 191-202. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23321 | - |
| dc.description.abstract | 觀察者間的相符度(agreement)研究，在實務上經常遇到超過一個以上的二元變數且兩變數具有相關性的情境，如病人健康問卷(Patient Health Questionnaire, PHQ)與專科醫師的結構式問診(Structured Clinical Interview, SCI)即在篩選具憂鬱、焦慮、恐慌症等共病性的精神科疾患。傳統估計兩個具相關的二元變數相符度的統計方法是分別估計之，而Shoukri and Donner(2009)提出一個考慮相關性下以概似函數為基礎的事後合併估計方式。本研究提出一個事先合併方法，且以共同相關模式及Dirichlet-trinomial 模式建立概似函數推論過程。經由模擬討論本方法的正確度與精確度。 | zh_TW |
| dc.description.abstract | In many practical studies of interobserver agreement yield outcome measures on more than one binary variable, which are correlative. For example, Becker(2001) evaluated the agreement between the Structured Clinical Interview and a Patient Health Questionnaire, which are two common screening instruments of several mental diseases with high comorbidity, such as depression, anxiety, and panic disorder. Couventionally, inference on each variable are usually used. Shoukri and Donner (2009) reported a likelihood-based post-combination procedure by taking into account the correlation between diseases. Here, alternatively, we propose a pre-combination method which proceedes the likelihood inference procedure under the common correlation model and Dirichlet-trinomial model. Simulations are performed to evaluate the accuracy and precision of our method. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T04:59:09Z (GMT). No. of bitstreams: 1 ntu-99-R97842023-1.pdf: 2788447 bytes, checksum: 0db14dad593635df53a957ffd02aeb43 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 中文摘要 ii
Abstract iii 誌謝 iv 目錄 v 表目錄 vii 第一章 前言 1 1.1 研究背景 1 1.2 研究目的 3 第二章 文獻探討 4 2.1 2x2列聯表 4 2.2 Cohen’s kappa 6 2.2.1 Cohen’s kappa的定義 6 2.2.2 kappa與邊際機率的關係 8 2.3 2x2列聯表kappa的估計方法 10 2.3.1 以概似函數為基礎的方法 10 2.3.2 對數線性模式(log linear model)的方法 16 2.4 兩個 列聯表kappa的估計方式 18 2.4.1 概似函數的方法 18 2.4.2 變異數分析的方法 22 第三章 研究方法 26 3.1 資料結構 26 3.2 事前合併方法 28 3.3 3x3 列聯表的基礎分布 30 3.3.1 以Dirichlet-trinomial 分布建立基礎分布 30 3.3.2 以共同相關模式建立邊際機率的基礎分布 34 3.4 估計方式 36 第四章 模擬研究與討論 39 4.1 模擬研究 39 4.2 參數估計的評估方法 40 4.3 結果與討論 41 4.3.1 模擬結果 41 4.3.2 事先與事後合併方法之比較 42 4.3.3 事前合併法之拓展與適用性 44 參考文獻 45 附錄 48 附錄一: 邊際機率相同時的 列聯表估計相符度 48 附錄二: 邊際機率不相同時的 列聯表估計相符度 49 附錄三: Dirichlet-trinomial分布 51 附錄四: 結果服從Dirichlet-trinomial分布時的聯合機率模式 52 附錄五: Dirichlet分布的特性 54 附錄六: Dirichlet-trinomial分布的特性 57 附錄七: Dirichlet-trinomial模式中相關係數等於kappa相符度 59 附錄八: Fisher計分函數與觀察值的Fisher訊息矩陣 60 附錄九: 以事先合併方法抽樣1000次的偏誤 73 附錄十: 以事先合併方法抽樣1000次的標準誤 77 附錄十一: 以事先合併方法抽樣1000次的均方誤 81 | |
| dc.language.iso | zh-TW | |
| dc.title | 以事先合併方法估計雙二元變數相符度 | zh_TW |
| dc.title | Estimation of the agreement of two binary variables using the pre-combination procedure | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃崑明,陳秀熙,鄭宗記,張淑惠 | |
| dc.subject.keyword | 相符度,雙二元變數,Dirichlet-trinomial 模式,相關性, | zh_TW |
| dc.subject.keyword | agreement,binary variables,Dirichlet-trinomial model,correlation, | en |
| dc.relation.page | 84 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2010-08-19 | |
| 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 |
| 顯示於系所單位： | 流行病學與預防醫學研究所 | |
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