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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳君厚(Chun-Houh Chen) | |
| dc.contributor.author | Shuo-En Ke | en |
| dc.contributor.author | 柯碩恩 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:04:58Z | - |
| dc.date.available | 2021-08-06 | |
| dc.date.available | 2022-11-24T03:04:58Z | - |
| dc.date.copyright | 2021-08-06 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-06-21 | |
| dc.identifier.citation | Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. American Cancer Society. (2020). Colorectal cancer facts figures 2020-2022. Atlanta: American Cancer Society. Atkin, W., Wooldrage, K., Parkin, D. M., Kralj-Hans, I., MacRae, E., Shah, U., Duffy, S. Cross, A. J. (2017). Long term effects of once-only flexible sigmoidoscopy screening after 17 years of follow-up: the UK flexible sigmoidoscopy screening randomised controlled trial. Lancet (London, England), 389, 10076, 1299-1311. Botteri, E., Iodice, S., Bagnardi, V., Raimondi, S., Lowenfels, A. B., Maisonneuve, P. (2008). Smoking and colorectal cancer: a meta-analysis. The Journal of the American Medical Association, 300(23), 2765–2778. Brenner, H., Altenhofen, L., Stock, C., Hoffmeister, M. (2013). Natural history of colorectal adenomas: birth cohort analysis among 3.6 million participants of screening colonoscopy. Cancer Epidemiology, Biomarkers Prevention, 22(6), 1043–1051. Brenner, H., Stock, C., Hoffmeister, M. (2014). Effect of screening sigmoidoscopy and screening colonoscopy on colorectal cancer incidence and mortality: systematic review and meta-analysis of randomised controlled trials and observational studies. BMJ, 348, g2467. Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. A Cancer Journal for Clinicians, 68(6), 394–424. Crowder, M. (1995). On the use of a working correlation matrix in using generalised linear models for repeated measures. Biometrika, 82(2), 407–410, Caruana, E. J., Roman, M., Hernández-Sánchez, J., Solli, P. (2015). Longitudinal studies. Journal of Thoracic Disease, 7(11), E537-40. Cooper, J. A., Parsons, N., Stinton, C., Mathews, C., Smith, S., Halloran, S. P., Moss, S., Taylor-Phillips, S. (2018). Risk-adjusted colorectal cancer screening using the FIT and routine screening data: development of a risk prediction model. British Journal of Cancer, 118(2), 285–293. Dayhoff, J. E., DeLeo, J. M. (2001). Artificial neural networks: opening the black box. Cancer, 91(8 Suppl), 1615–1635. Dreiseitl, S., Ohno-Machado, L. (2002). Logistic regression and artificial neural network classification models: a methodology review. Journal of Biomedical Informatics, 35(5-6), 352–359. Feng, Z., Diehr, P., Peterson, A., McLerran, D. (2001). Selected statistical issues in group randomized trials. Annual Review of Public Health, 22(1), 167-187. Ferlitsch, M., Reinhart, K., Pramhas, S., Wiener, C., Gal, O., Bannert, C., Hassler, M., Kozbial, K., Dunkler, D., Trauner, M., Weiss, W. (2011). Sex-specific prevalence of adenomas, advanced adenomas, and colorectal cancer in individuals undergoing screening colonoscopy. The Journal of the American Medical Association, 306(12), 1352–1358. Fitzmaurice, G., Laird, N., Ware, J. (2011). Applied Longitudinal Data. John Wiley Sons, 2nd edition. Fan, C., Zhang, D., Zhang, C. H. (2013). A comparison of bias-corrected covariance estimators for generalized estimating equations. Journal of Biopharmaceutical Statistics, 23(5), 1172-1187. Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., Bray, F. (2015). Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. International Journal of Cancer, 136(5), E359–E386. Friedman, L. M., Furberg, C. D., DeMets, D., Reboussin, D. M., Granger, C. B. (1998). Fundamentals of Clinical Trials. Springer, New York, NY, USA, 3rd edition. Ferlay, J., Colombet, M., Soerjomataram, I., Mathers, C., Parkin, D. M., Piñeros, M., Znaor, A., Bray, F. (2019). Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. International Journal of Cancer, 144(8), 1941–1953. Grahn, S. W., Varma, M. G. (2008). Factors that increase risk of colon polyps. Clinics in Colon and Rectal Surgery, 21(4), 247–255. Goldstein, H. (2010). Multilevel Statistical Models. London: Arnold, 4th edition. Güneş, E. D., Örmeci, E. L., Kunduzcu, D. (2015). Preventing and diagnosing colorectal cancer with a limited colonoscopy resource. Production and Operations Management, 24(1), 1-20. Gupta, S., Lieberman, D., Anderson, J. C., Burke, C. A., Dominitz, J. A., Kaltenbach, T., Robertson, D. J., Shaukat, A., Syngal, S., Rex, D. K. (2020). Recommendations for follow-up after colonoscopy and polypectomy: a consensus update by the US multi-society task force on colorectal cancer. Gastrointestinal Endoscopy, 91(3), 463–485.e5. Hoffmeister, M., Schmitz, S., Karmrodt, E., Stegmaier, C., Haug, U., Arndt, V., Brenner, H. (2010). Male sex and smoking have a larger impact on the prevalence of colorectal neoplasia than family history of colorectal cancer. Clinical Gastroenterology and Hepatology, 8(10), 870–876. Liang, K. Y., Zeger, S. L. (1986). A comparison of two bias-corrected covariance estimators for generalized estimating equations. Biometrika, 73, 13–22. Lieberman, D. A., Weiss, D. G., Bond, J. H., Ahnen, D. J., Garewal, H., Chejfec, G. (2000). Use of colonoscopy to screen asymptomatic adults for colorectal cancer. Veterans affairs cooperative study group 380. The New England Journal of Medicine, 343(3), 162–168. Leslie, A., Carey, F. A., Pratt, N. R., Steele, R. J. (2002). The colorectal adenoma-carcinoma sequence. The British Journal of Surgery, 89(7), 845–860. Lieberman, D. A., Rex, D. K., Winawer, S. J., Giardiello, F. M., Johnson, D. A., Levin, T. R. (2012). Guidelines for colonoscopy surveillance after screening and polypectomy: a consensus update by the US multi-society task force on colorectal cancer. Gastroenterology, 143(3), 844–857. Li, D. (2018). Recent advances in colorectal cancer screening. Chronic Diseases and Translational Medicine, 4, 139 - 147. Ma, G. K., Ladabaum, U. (2014). Personalizing colorectal cancer screening: a systematic review of models to predict risk of colorectal neoplasia. Clinical Gastroenterology and Hepatology, 12(10), 1624–34.e1. Nishihara, R., Wu, K., Lochhead, P., Morikawa, T., Liao, X., Qian, Z. R., Inamura, K., Kim, S. A., Kuchiba, A., Yamauchi, M., Imamura, Y., Willett, W. C., Rosner, B. A., Fuchs, C. S., Giovannucci, E., Ogino, S., Chan, A. T. (2013). Long-term colorectal-cancer incidence and mortality after lower endoscopy. The New England Journal of Medicine, 369(12), 1095–1105. Niederreiter, M., Niederreiter, L., Schmiderer, A., Tilg, H. Djanani, A. (2019). Colorectal cancer screening and prevention—pros and cons. Magazine of European Medical Oncology, 12, 239–243. Pavlou, M., Ambler, G., Seaman, S. R., Guttmann, O., Elliott, P., King, M., Omar, R. Z. (2015). How to develop a more accurate risk prediction model when there are few events. BMJ, 351, h3868. Peng, L., Weigl, K., Boakye, D., Brenner, H. (2018). Risk scores for predicting advanced colorectal neoplasia in the average-risk population: a systematic review and meta-analysis. The American Journal of Gastroenterology, 113(12), 1788-1800. Regula, J., Rupinski, M., Kraszewska, E., Polkowski, M., Pachlewski, J., Orlowska, J., Nowacki, M. P., Butruk, E. (2006). Colonoscopy in colorectal-cancer screening for detection of advanced neoplasia. The New England Journal of Medicine, 355(18), 1863–1872. Rex, D. K., Boland, C. R., Dominitz, J. A., Giardiello, F. M., Johnson, D. A., Kaltenbach, T., Levin, T. R., Lieberman, D., Robertson, D. J. (2017). Colorectal cancer screening: recommendations for physicians and patients from the U.S. multi-society task force on colorectal cancer. Gastrointestinal Endoscopy, 86(1), 18–33. Sargent, D. J. (2001). Comparison of artificial neural networks with other statistical approaches: results from medical data sets. Cancer, 91(8 Suppl), 1636–1642. Schoen, R. E., Pinsky, P. F., Weissfeld, J. L., Yokochi, L. A., Church, T., Laiyemo, A. O., Bresalier, R., Andriole, G. L., Buys, S. S., Crawford, E. D., Fouad, M. N., Isaacs, C., Johnson, C. C., Reding, D. J., O'Brien, B., Carrick, D. M., Wright, P., Riley, T. L., Purdue, M. P., Izmirlian, G., … PLCO Project Team (2012). Colorectal-cancer incidence and mortality with screening flexible sigmoidoscopy. The New England Journal of Medicine, 366(25), 2345–2357. Sweeting, M. J., Thompson, S. G. (2012). Making predictions from complex longitudinal data, with application to planning monitoring intervals in a national screening programme. Journal of the Royal Statistical Society, 175(2), 569–586. Shaukat, A., Mongin, S. J., Geisser, M. S., Lederle, F. A., Bond, J. H., Mandel, J. S., Church, T. R. (2013). Long-term mortality after screening for colorectal cancer. The New England Journal of Medicine, 369(12), 1106–1114. Stegeman, I., de Wijkerslooth, T. R., Stoop, E. M., van Leerdam, M. E., Dekker, E., van Ballegooijen, M., Kuipers, E. J., Fockens, P., Kraaijenhagen, R. A., Bossuyt, P. M. (2014). Combining risk factors with faecal immunochemical test outcome for selecting CRC screenees for colonoscopy. Gut, 63(3), 466–471. Simon, K. (2016). Colorectal cancer development and advances in screening. Clinical Interventions in Aging, 11, 967–976. Tsoi, K. K., Pau, C. Y., Wu, W. K., Chan, F. K., Griffiths, S., Sung, J. J. (2009). Cigarette smoking and the risk of colorectal cancer: a meta-analysis of prospective cohort studies. Clinical Gastroenterology and Hepatology, 7(6), 682–688.e6885. Taylor, D. P., Burt, R. W., Williams, M. S., Haug, P. J., Cannon-Albright, L. A. (2010). Population-based family history-specific risks for colorectal cancer: a constellation approach. Gastroenterology, 138(3), 877–885. US Preventive Services Task Force, Bibbins-Domingo, K., Grossman, D. C., Curry, S. J., Davidson, K. W., Epling, J. W., Jr, García, F., Gillman, M. W., Harper, D. M., Kemper, A. R., Krist, A. H., Kurth, A. E., Landefeld, C. S., Mangione, C. M., Owens, D. K., Phillips, W. R., Phipps, M. G., Pignone, M. P., Siu, A. L. (2016). Screening for colorectal cancer: US preventive services task force recommendation statement. The Journal of the American Medical Association, 315(23), 2564–2575. Wedderburn, R. (1974). Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method. Biometrika, 61(3), 439-447. Wang, M. (2014). Generalized estimating equations in longitudinal data analysis: a review and recent developments. Advances in Statistics, 1, 1-11. Wells, B. J., Kattan, M. W., Cooper, G. S., Jackson, L., Koroukian, S. (2014). Colorectal cancer predicted risk online (CRC-PRO) calculator using data from the multi-ethnic cohort study. Journal of the American Board of Family Medicine, 27(1), 42–55. World Health Organization (2020). Global Health Observatory. Geneva: World Health Organization. World health statistics 2020: monitoring health for the SDGs, sustainable development goals. URL https://www.who.int/gho/publications/world_health_statistics/2020/en/. Accessed 22 July 2020. World Health Organization (2020). Global Health Observatory. Geneva: World Health Organization. URL https://www.who.int/gho/ncd/en/. Accessed 23 July 2020. Zauber, A. G., Winawer, S. J., O'Brien, M. J., Lansdorp-Vogelaar, I., van Ballegooijen, M., Hankey, B. F., Shi, W., Bond, J. H., Schapiro, M., Panish, J. F., Stewart, E. T., Waye, J. D. (2012). Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. The New England Journal of Medicine, 366(8), 687–696. 陳逸真 (2017)。不平衡資料分類方法之比較。國立臺北大學統計研究所碩士論文。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80352 | - |
| dc.description.abstract | 根據國際癌症研究機構指出,大腸直腸癌是全球常見癌症及癌症死因,且近年發病率及死亡率皆呈現增長的趨勢,使得大腸直腸癌於未來醫學研究領域上極具重要性。本研究旨在解決兩項大腸直腸癌的分析情境:篩檢方法與監測策略。篩檢方法為利用重要風險因子來建構大腸直腸癌風險分類模型以預測受測者的進階性大腸腫瘤風險分數。監測策略為考量時間因素來建構回診時間之監測間隔推薦模型以替受測者的個人化需求提供合適的回診時程規劃。 本研究使用國立台灣大學醫學院附設醫院的健康管理中心所提供的長期追蹤之健康檢查資料為研究數據,並以已完成大腸鏡檢查且有確定記錄篩檢結果的資料為最終樣本進行分析。篩檢方法採用廣義估計方程式作為預測模型,並使用減少多數抽樣法來減輕不平衡資料影響,同時進一步嘗試原始模型參數、參數平均法、參數投票法及參數奇異值分解法等四種建模方法來強化模型的準確性。監測策略採用階層式模型作為預測模型,並納入重要風險因子來增進模型擬合之配適度。篩檢方法採用ROC曲線下面積、敏感度及特異度進行模型評估,而監測策略採用最小化資訊量準則為之。 篩檢方法表明結合年齡、性別、家族大腸直腸癌病史及現在平均每日抽煙量等重要風險因子與過去大腸鏡檢查資訊之大腸直腸癌風險分類模型能有較高的模型準確性,並使用參數平均法能強化模型準確性。監測策略以追蹤時間長度作為時間尺度,來建構可動態改變且相對簡單穩定的一般線性監測間隔推薦模型,並依照欲越過限制的機率幅度來計劃適當的監測間隔,且納入重要風險因子後能進一步優化模型擬合程度。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:04:58Z (GMT). No. of bitstreams: 1 U0001-1906202106034900.pdf: 1756595 bytes, checksum: 2b68ecbe058030f3a2530fc0c2b106be (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 口試委員會審定書 i 中文摘要 ii 英文摘要 iv 圖目錄 viii 表目錄 ix 第一章 緒論 1 第二章 文獻回顧 4 第一節 CRC風險因子 4 第二節 篩檢方法 6 第三節 監測策略 7 第三章 研究方法 9 第一節 研究數據 9 第二節 預測模型 12 第三節 模型建立 20 第四節 評估指標 21 第四章 研究結果與討論 23 第一節 CRC風險分類模型 23 第二節 回診時間之監測間隔推薦模型 33 第五章 結論與建議 42 參考文獻 44 附錄 51 | |
| dc.language.iso | zh-TW | |
| dc.subject | 監測策略 | zh_TW |
| dc.subject | 篩檢方法 | zh_TW |
| dc.subject | 大腸直腸癌 | zh_TW |
| dc.subject | 進階性大腸腫瘤 | zh_TW |
| dc.subject | 風險預測 | zh_TW |
| dc.subject | 監測間隔 | zh_TW |
| dc.subject | 廣義估計方程式 | zh_TW |
| dc.subject | 階層式模型 | zh_TW |
| dc.subject | Colorectal cancer | en |
| dc.subject | Surveillance | en |
| dc.subject | Hierarchical model | en |
| dc.subject | Generalized estimation equation | en |
| dc.subject | Risk prediction | en |
| dc.subject | Advanced colorectal neoplasia | en |
| dc.subject | Screening | en |
| dc.subject | Monitoring intervals | en |
| dc.title | 大腸直腸癌風險預測及監測間隔規劃:篩檢方法及監測策略 | zh_TW |
| dc.title | Risk Prediction and Monitoring Interval Planning for Colorectal Cancer: Screening and Surveillance | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 王偉仲(Wei-Chung Wang),陳素雲(Su-Yun Huang) | |
| dc.contributor.oralexamcommittee | 洪弘(Hsin-Tsai Liu),(Chih-Yang Tseng) | |
| dc.subject.keyword | 大腸直腸癌,進階性大腸腫瘤,篩檢方法,監測策略,風險預測,監測間隔,廣義估計方程式,階層式模型, | zh_TW |
| dc.subject.keyword | Colorectal cancer,Advanced colorectal neoplasia,Screening,Surveillance,Risk prediction,Monitoring intervals,Generalized estimation equation,Hierarchical model, | en |
| dc.relation.page | 60 | |
| dc.identifier.doi | 10.6342/NTU202101051 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-06-22 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資料科學學位學程 | zh_TW |
| 顯示於系所單位: | 資料科學學位學程 | |
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