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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張淑惠(SHU-HUI CHANG) | |
| dc.contributor.author | Yi Hsiang Yuan | en |
| dc.contributor.author | 原義翔 | zh_TW |
| dc.date.accessioned | 2021-06-07T17:41:12Z | - |
| dc.date.copyright | 2020-08-26 | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020-07-30 | |
| dc.identifier.citation | J Kim, J Kim and SW Kim(2019). Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events. BMC Medical Research Methodology 19, 49
L Tian, L Zhao, and LJ Wei (2014). Predicting the restricted mean event time with the subject’s baseline covariates in survival analysis. Biostatistics 15, 2, 222–233 JK Barrett, F Siannis and VT Farewell (2011). A semi-competing risks model for data with interval-censoring and informative observation: an application to the MRC cognitive function and ageing study. Statistics in Medicine 30(1), 1–10 JA Laurie, CG Moertel, TR Fleming, HS Wieand, JE Leigh, J Rubin, GW McCormack, JB Gerstner, JE Krook and J Malliard (1989). Surgical adjuvant therapy of large-bowel carcinoma: An evaluation of levamisole and the combination of levamisole and fluorouracil: The North Central Cancer Treatment Group and the Mayo Clinic. Journal of Clinical Oncology 7:1447-1456. J Crowley and M Hu (1977). Covariance analysis of heart transplant survival data. Journal of the American Statistical Association, 72, 27–36. PJ Heagerty and Y Zheng (2005). Survival Model Predictive Accuracy and ROC Curves. Biometrics 61, 92-105. H-C Yeh (2019). Comparison of dynamic prediction of different landmark proportional hazard model under semi-competing risks data Division of Biostatistics, Graduate Institute of Epidemiology College of Public Health, National Taiwan University Master Thesis. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15494 | - |
| dc.description.abstract | 關於病患在接受治療或發病後的平均餘命是臨床實務上重要的課題。在慢性疾病中，隨時間變化的生物標記可能會是重要的預後因子。本文目標是藉由病患們生物標誌的動態過程，提供病患們平均餘命的估計。針對死亡事件或設限事件會中止生物標誌的動態過程之半競爭風險資料，本研究考慮了不同特徵點比例風險模式，包含以在特徵時間點之生物標誌指標作為模式的共變數，以獲得平均餘命之估計。在研究中模擬的部分，是以均方差作為平均餘命估計表現的評估準則，並將所提估計方法應用於二筆實際資料。 | zh_TW |
| dc.description.abstract | The life expectancy of patients after receiving treatment or onset is an important issue in clinical practices. The information of time-varying biomarkers may be important prognostic factors of chronic diseases. The goal of this paper is to provide the estimated life expectancy of the patient based on the patient's own dynamic biomarker process information. The study considers several landmark proportional hazards models including such biomarkers at a specific landmark time as covariates. Then, estimates of patient life expectancy can be obtained based on the semi-competing risks data, in which the biomarker process can be stopped by death or censoring event, but not vice versa. In simulation study, the performance of estimated life expectancy is assessed via mean square errors. Our methods are applied to two real data sets for illustration. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-07T17:41:12Z (GMT). No. of bitstreams: 1 U0001-1507202009430200.pdf: 3909510 bytes, checksum: d97fef7aa882535bb67b32d08a3a7a81 (MD5) Previous issue date: 2020 | en |
| dc.description.tableofcontents | 口試委員審定書 i 誌謝 ii 中文摘要 iii 英文摘要 iv 目錄 v 圖目錄 vi 表目錄 ix 第一章 研究動機與目的 - 1 - 第二章 研究方法 - 3 - 第一節 資料結構 - 3 - 第二節 特徵點比例風險模型計算平均餘命 - 5 - 第三節 時間限制下的平均餘命 - 9 - 第三章 模擬 - 10 - 第一節 資料生成 - 10 - 第二節 模擬結果 - 12 - 第四章 實例分析 - 33 - 第一節 大腸直腸癌切割手術 - 33 - 第二節 心臟移植手術 - 36 - 第五章 結果與討論 - 40 - 第六章 參考文獻 - 42 - 附錄 - 43 - | |
| dc.language.iso | zh-TW | |
| dc.subject | 特徵點比例風險模式 | zh_TW |
| dc.subject | 半競爭風險資料 | zh_TW |
| dc.subject | 平均餘命 | zh_TW |
| dc.subject | landmark proportional hazards model | en |
| dc.subject | Semi-competing data | en |
| dc.subject | mean residual life | en |
| dc.title | 比較不同特徵點比例風險模式於半競爭風險資料之平均餘命的估計表現 | zh_TW |
| dc.title | Comparison of estimated mean residual times for different landmark proportional hazard models under semi-competing risks data | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 108-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 戴政(ZHENG DAI),丘政民(Jeng-Min Chiou),陳秀熙(Hsiu-hsi Chen),杜裕康(YU-KANG TU) | |
| dc.subject.keyword | 半競爭風險資料,平均餘命,特徵點比例風險模式, | zh_TW |
| dc.subject.keyword | Semi-competing data,mean residual life,landmark proportional hazards model, | en |
| dc.relation.page | 57 | |
| dc.identifier.doi | 10.6342/NTU202001529 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2020-07-30 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 流行病學與預防醫學研究所 | 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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