會議論文
| 學年 | 114 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2025-12-16 |
| 作品名稱 | The estimation of the AFT model with measurement errors–the Buckley James approach |
| 作品名稱（其他語言） | |
| 著者 | Yih-Huei Huang |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | 114年統計學術研討會 |
| 會議地點 | 臺北市，臺灣 |
| 摘要 | The Accelerated Failure Time (AFT) model is a widely used framework in survival analysis, providing an intuitive interpretation of the effects of covariates on loglifetime. This paper addresses the estimation problem when covariates are subject to measurement error. We begin by correcting the bias in the estimating function using the traditional approach, assuming no censoring, and then extend the method by computing its conditional expectation given the censoring indicator, in line with the Buckley–James estimation framework. However, the computation requires estimating the distribution of the adjusted lifetime. Since measurement error induces dependence between the adjusted lifetime and censoring time, we propose employing Beran’s estimator to address this complication. Simulation results demonstrate that the proposed method outperforms conventional regression calibration and remains consistent under completely random censoring. |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國內 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20251216~20251216 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129100 ) |