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
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 )