博碩士論文 108225021 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:28 、訪客IP:3.145.36.10
姓名 吳宥蓁(Yu-Jen Wu)  查詢紙本館藏   畢業系所 統計研究所
論文名稱 根據毒性反應與疾病無惡化存活時間 建立之早期臨床試驗設計
(Early clinical trial designs based on toxicity response and progression-free survival time)
相關論文
★ 藥物最低有效劑量之無母數鑑別★ 根據貝氏檢定建構的第一期臨床試驗設計
★ 第一期臨床試驗之貝氏調適設計★ 強餘震之即時貝氏預測
★ 鑑別最佳添加藥物劑量的兩階段早期臨床試驗設計★ 臺灣地區地下水品質之統計研究
★ 右設限存活資料之下每日可服劑量之研究★ 集集餘震之統計研究
★ 多群資料下最低有效劑量之聯合鑑別★ 最大餘震規模之統計分析
★ 最大餘震發生時間之統計分析★ 地震預測之統計分析
★ 加權Kaplan-Meier統計量之推廣★ 鑑別藥物最低有效劑量之檢定
★ 餘震序列RJ模型之貝氏分析★ 藥物最低有效劑量之穩健鑑別
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 在研發分子標靶藥以治療癌症的早期臨床試驗中,目的是估計該藥的最佳生物劑量,亦即服用該劑量的病患發生劑量限制毒性的機率低於設定的目標毒性機率且具有最佳療效。本文提出早期臨床試驗的兩階段設計,第一階段試驗應用目前的連續重評估設計或鍵盤設計,根據二元毒性反應資料進行劑量升降與配置,尋找藥物的最大耐受劑量,藉以決定具有可接受毒性的劑量集合;第二階段進行世代試驗,以疾病無惡化時間為療效指標,根據先前藥物治療的疾病無惡化中位數時間之下的存活函數衡量劑量之藥效。第二階段的世代試驗使用交集-聯集檢定鑑別藥效低於二分之一的無效劑量,因此若最低劑量毒性過高或所有的可接受劑量皆無效,則提早結束試驗;否則在可接受毒性的劑量中估計藥效最高的最低劑量為暫時的最佳生物劑量,然後採用平衡設計隨機配置病人服用最佳生物劑量及其相鄰的可接受劑量。最後當病患人數到達預定數量時,根據所有病患的毒性反應與疾病無惡化時間估計最佳生物劑量,也估計可接受劑量之藥效與最佳藥效的差距在百分之五內的有效生物劑量。本文最後在各種不同的毒性機率與疾病無惡化存活機率之組合情境下進行模擬研究,探討兩階段早期臨床試驗方法的操作特性。模擬研究結果顯示本文建議的兩階段早期臨床試驗方法具有合理的過毒劑量配置機率,也能有效率地鑑別有效生物劑量。
摘要(英) Early clinical trials for molecular target agents (MTA) cancer research aim to estimate the optimal biological dose (OBD) that gives the largest efficacy probability while remaining the dose-limiting toxicity (DLT) probability less than the target toxicity probability (TTP). Two-stage designs are considered in this thesis for the early phase clinical trials. In the first stage, either the CRM or Keyboard design is used to adaptively assign doses to patients based on the binary toxicity responses. The maximum tolerated dose (MTD) and hence doses with acceptable toxicity or the acceptable doses are tentatively determined. In the second stage, cohort trials are employed where the endpoint of interest is the progression-free survival (PFS) time and the efficacy is then evaluated as the survival function at the median PFS time of previous medication. During each cohort trial in the second stage, the intersection-union test is used to screen the acceptable doses with efficacy less than one half. Therefore, the clinical trial is early terminated if the lowest dose is too toxic or all the acceptable doses are ineffective. Otherwise, a tentative OBD is identified to be the lowest dose that maintains the highest efficacy among the acceptable doses. The OBD and acceptable doses adjacent to the OBD are then randomly assigned in balance to the next cohort of patients. When the maximum number of patients is reached, the OBD and the effective biological dose (EBD) as the acceptable dose with efficacy within 5% to the OBD are identified based on all the available toxicity responses and PFS times is also estimated. A simulation study is conducted to investigate the operating characteristics of the two-stage designs over a variety of scenarios of toxicity and efficacy probabilities. The simulation results show that the two-stage designs maintain reasonably on the over-toxic dose assignment and identify efficiently on the EBD selection.
關鍵字(中) ★ 早期臨床試驗設計
★ 兩階段設計
★ 最佳生物劑量
★ 有效生物劑量
★ 疾病無惡化存活時間
關鍵字(英) ★ early clinical trial design
★ two-stage design
★ optimal biological dose
★ effective biological dose
★ progression free survival time
論文目次 摘要 I
Abstract II
致謝辭 III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章 研究動機與目的 1
第二章 文獻回顧 7
2.1 第一期臨床試驗設計 7
2.1.1 3+3 設計 7
2.1.2 CRM 設計 9
2.1.3 Keyboard設計 11
2.2 早期臨床試驗 14
2.2.1 3+3-SD3 design 14
2.2.2 mTPI2-ARD/BRD 兩階段設計 15
第三章 兩階段早期臨床試驗設計 17
3.1 存活機率之檢定 18
3.2 試驗設計 21
第四章 模擬研究 26
4.1模擬研究設計 26
4.2 模擬研究結果 29
第五章 結論與未來研究 31
參考文獻 33
附錄 36
參考文獻 Berger, R.L. and Hsu, J.C. (1996). Bioequivalence trials, intersection-union tests and equivalence confidence sets. Statistical Sciences 11, 283-319.
Collett, D. (2003). Modelling survival data in medical research. Chapman and Hall/CRC.
Guo, W., Wang, S.J., Yang, S., Lynn, H. & Ji, Y. (2017) A Bayesian interval dose-finding design addressing Ockham’s razor: MTPI-2. Contemporary Clinical Trials; 58:23-33.
Hoering, A., Mitchell, A., LeBlanc, M. & Crowley, J. (2013) Early phase trial design for assessing several dose levels for toxicity and efficacy for targeted agents. Clinical Trials; 10:422-429.
Ji, Y., Li, Y. & Bekele, N. (2007) Dose-finding in phase I clinical trials based on toxicity probability intervals. Clinical Trials; 4:235-244.
Ji, Y., Liu, P., Li, Y. & Bekele, N. (2010). A modified toxicity probability interval method for dose-finding trials. Clinical Trials; 7:653-663.
Lee, S.M. & Cheung Y.K. (2009) Model-calibration-in-the-continual-reassessment-method. Clinical Trials; 6:227-238.
Liu, S. & Yuan, Y. (2015) Bayesian optimal interval designs for phase I clinical trials. Journal of the Royal Statistical Society: Series C Applied Statistics; 64:507-523.
Lin, R. & Yin, G. (2017) STEIN: A simple toxicity and efficacy interval design for seamless phase I/II clinical trials. Statistics in medicine; 36:4106-4120.
Li, D.H., Whitmore, J.B., Guo, W. & Ji, Y. (2017) Toxicity and efficacy probability interval design for phase I adoptive cell therapy dose-finding clinical trials. Clinical Cancer Research; 23:13-20.
O′Quigley, J., Pepe, M. & Fisher, L. (1990) Continual reassessment method: A practical design for phase I clinical trials in cancer. Biometrics; 46:33-48.
Rubinstein, L. (2014) Phase II design history and evolution. Chinese Clinical Oncology; 3(4):48.
Riviere, M.K., Yuan, Y., Jourdan, J.H., Dubois, F. & Zohar, S. (2015) A Bayesian dose finding design for clinical trials combining a cytotoxic agent with a molecularly targeted agent. Journal of Royal Statistical Society; 64:215-229.
Riviere, M.K., Yuan, Y., Jourdan, J.H., Dubois, F. & Zohar, S. (2018) Phase I/II dose-finding design for molecularly targeted agent: Plateau determination using adaptive randomization. Statistics in Medicine; 27:466-479.
Storer, B.E. (1989) Design and analysis of phase I clinical trials. Biometrics; 45:925-937.
Yan, F., Mandrekar, S.J. & Yuan, Y. (2017) Keyboard: A novel bayesian toxicity probability interval design for phase I clinical trials. Clinical Cancer Research; 23:3994-4003.
Zang, Y., Lee, J.J. & Yuan, Y. (2014) Adaptive designs for identifying optimal biological dose for molecularly targeted agents. Clinical Trials; 11:319-327.
Zhou, H., Murray, T.A., Pan, H. & Yuan, Y. (2018) Comparative review of novel model‐assisted designs for phase I clinical trials. Statistics in Medicine; 37:2208-2222.
Zhou, H., Yuan, Y. & Nie, L. (2018) Accuracy, safety, and reliability of novel phase I trial designs. Clinical Cancer Research; 24:4357-4364.
Zhou, H., Chen, C., Sun, L. & Yuan, Y. (2020) Bayesian optimal phase II clinical trial design with time-to event endpoint. WILEY. 1-11.
王超辰 (2021),「醫學統計學」,https://wangcc.me/LSHTMlearningnote/,Retrieved July 25。
林建甫 (2008),「存活分析」,雙葉書廊。
陳啟郡 (2020),「早期臨床試驗模式輔助之兩階段設計」,國立中央大學,碩士論文。
指導教授 陳玉英(Yuh-Ing Chen) 審核日期 2021-8-3
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明