研究報告
| 學年 | 100 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2011-08-01 |
| 作品名稱 | 具共變量誤差之區間設限數據分析 |
| 作品名稱（其他語言） | Analysis of Interval-Censored Data with Mismeasured Covariates |
| 著者 | 溫啟仲 |
| 單位 | 淡江大學數學學系 |
| 描述 | 計畫編號：NSC100-2118-M032-011
 研究期間：20110801~20120731
 研究經費：591,000 |
| 委託單位 | 行政院國家科學委員會 |
| 摘要 | Covariate measurement error problems have been extensively studied in the context of right-censored data but less so for current status or interval-censored data. Motivated partly by the zebrafish basal cell carcinoma (BCC) study, where the occurrence time of BCC was only known to lie before or after a sacrifice time and where the covariate (Sonic hedgehog expression) was measured with error, we will propose a conditional score approach to the analysis of (case I / case k) interval-censored data with mismeasured covariates under the proportional odds model. The conditional score approach, originated by Stefanski and Carroll (1987), has the important advantage that it does not need a distributional assumption for unobserved error-prone covariate, rendering the proposed approach more robust and applicable compared to other strategies for handling measurement errors. 具共變量測量誤差之右設限數資料已被廣泛的研究，但對現狀或區間設限數據卻很 少研究。研究動機的一部分為斑馬魚之基底細胞癌的研究，其中研究者只知道細胞癌的 發生時間在獻祭時間之前或之後，而共變量Sonic hdgehog 基因表現存有量測誤差。因 此，我們對於具共變量測量誤差之(型I 或型k)區間設限資料，在正比例優劣比模型下， 將提出一個「條件分數法」來分析。條件分數法的重要優勢為不需對真實易有誤差卻未 見之共變量作一分佈假設，因此我們所提估計方法將相較其他處理測量誤差方法更具穩 健性。 |
| 關鍵字 | 有效分數; 現狀數據; 區間設限; 測量誤差; Conditional score; current status data; interval censoring; measurement error |
| 語言 | zh_TW |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76943 ) |