| Varying coefficient transformation cure models for failure time data | |
|---|---|
| 學年 | 108 |
| 學期 | 2 |
| 出版（發表）日期 | 2020-07-01 |
| 作品名稱 | Varying coefficient transformation cure models for failure time data |
| 作品名稱（其他語言） | |
| 著者 | Man-Hua Chen; Xingwei Tong |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Lifetime Data Analysis (27 pages) |
| 摘要 | This article discusses regression analysis of right-censored failure time data where there may exist a cured subgroup, and also covariate effects may be varying with time, a phenomena that often occurs in many medical studies. To address the problem, we discuss a class of varying coefficient transformation models along with a logistic model for the cured subgroup. For inference, a sieve maximum likelihood approach is developed with the use of spline functions, and the asymptotic properties of the proposed estimators are established. The proposed method can be easily implemented, and the conducted simulation study suggests that the proposed method works well in practical situations. An illustrative example is provided. |
| 關鍵字 | Cure model;Maximum likelihood estimation;Regression analysis;Spline smoothing |
| 語言 | en_US |
| ISSN | 1380-7870 (Print);1572-9249 (Online) |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Man-Hua Chen |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118095 ) |
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