Repository logo
  • English
  • 中文
Log In
Have you forgotten your password?
  1. Home
  2. College of Public Health / 公共衛生學院
  3. Epidemiology and Preventive Medicine / 流行病學與預防醫學研究所
  4. Statistical Analysis of Occurrence of and Death from Oral Cancer with Multi-state Illness-Death Competing Risks Model
 
  • Details

Statistical Analysis of Occurrence of and Death from Oral Cancer with Multi-state Illness-Death Competing Risks Model

Date Issued
2014
Date
2014
Author(s)
Lee, Chia-Hsuan
URI
http://ntur.lib.ntu.edu.tw//handle/246246/262386
Abstract
Background An increasing trend of incidence of and mortality from oral cancer called for a nationwide secondary prevention through oral cancer screening with dental inspection in Taiwan. It is therefore of great interest to examine the survival of oral cancer while more proportion of early-detected oral cancer was noted. However, statistical analysis of early stage of oral cancer is subject to competing risks of death. In spite of wide applications of statistical competing risks model, very few studies were conducted to apply these statistical models to population-based cancer screening data. Moreover, it is also very rare to develop a multi-state illness-death model with the incorporation of competing risks of death as one of absorbing states. How to integrate the concept of cumulative incidence and subdistribution hazard into the illness-death competing risks model has been barely addressed. Aims The main purposes of this thesis were to develop a multi-state illness-death competing risks model so as to apply the proposed model to estimate cumulative incidence for occurrence of and death from oral cancer and also to estimate case-specific hazard (CSH) ratio and subdistribution hazard (SDH) ratio for the effect of betel quids on oral cancer death taking competing risks into account. Data Data on 2,332,430 Taiwanese residents aged 18 years or older attending the population-based screening for oral cancer with dental inspection from which 8009 oral cancer, and 2223 oral cancer deaths, together with 75582 and 667 deaths from competing causes among subjects free of oral cancer and patients of oral cancer, respectively, were ascertained. These data were exploited to estimate cumulative risk of occurrence of oral cancer and death from oral cancer. Information on betel quids chewing and smoking was also collected for assessing the CSH and SDH ratios for the effect of betel quids chewing. Model Specification A four-state illness-death model was proposed, including free of oral cancer (FOC) (State 1), oral cancer (State 2), oral cancer death (State 3), and competing risks of death (State 4). Both homogeneous (exponential) Markov model and non-homogeneous Weibull-based stochastic process were applied to estimating the parameters corresponding to each transition from state i to state j (i≤j, i, j=1, 2, 3, 4). Cumulative risks for each transition were estimated by using the corresponding transition probabilities. The effect of betel quids on occurrence of oral cancer was assessed by cause-specific hazard (CSH) ratio and subdistribution hazard (SDH) ratio based on Gray and Fine idea. Results Cumulative risks with adjustment for competing risks of death for oral cancer and oral cancer death were slightly lower than those without considering competing risks of death. By using the proposed multi-state illness-death competing risks model, we predicted 10-year cumulative risks for occurrence of oral cancer were 0.20% and 0.27% with and without adjustment for competing risks of death, respectively. Both 10-year cumulative risk figures for oral cancer death were 67.4% and 81.98% for oral cancer patients, and 0.33% and 0.39% for the underlying screened population, respectively. Using SDH ratio as opposed to cause-specific hazard (CSH) shows the effect of betel quids chewing varied with time of follow-up. Conclusion The proposed multi-state illness-death competing risks model permits one to predict long-term risk of multi-state outcome subject to presence of competing risks of death. Information provided from the results after the application of this model make contribution to the concern about overdiagnosis in population-based screen.
Subjects
瞬間風險比
多階段疾病-死亡競爭風險模式
口腔癌
SDGs

[SDGs]SDG3

Type
thesis
File(s)
Loading...
Thumbnail Image
Name

ntu-103-P01849007-1.pdf

Size

23.32 KB

Format

Adobe PDF

Checksum

(MD5):36d985ed5cca391c225966a9713d612f

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

總館學科館員 (Main Library)
醫學圖書館學科館員 (Medical Library)
社會科學院辜振甫紀念圖書館學科館員 (Social Sciences Library)

開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

  • 請確認所上傳的全文是原創的內容,若該文件包含部分內容的版權非匯入者所有,或由第三方贊助與合作完成,請確認該版權所有者及第三方同意提供此授權。
    Please represent that the submission is your original work, and that you have the right to grant the rights to upload.
  • 若欲上傳已出版的全文電子檔,可使用Open policy finder網站查詢,以確認出版單位之版權政策。
    Please use Open policy finder to find a summary of permissions that are normally given as part of each publisher's copyright transfer agreement.
  • 網站簡介 (Quickstart Guide)
  • 使用手冊 (Instruction Manual)
  • 線上預約服務 (Booking Service)
  • 方案一:臺灣大學計算機中心帳號登入
    (With C&INC Email Account)
  • 方案二:ORCID帳號登入 (With ORCID)
  • 方案一:定期更新ORCID者,以ID匯入 (Search for identifier (ORCID))
  • 方案二:自行建檔 (Default mode Submission)
  • 方案三:學科館員協助匯入 (Email worklist to subject librarians)

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science