出版日期：2020-07-01 00:00:00

著者：Man-Hua Chen; Xingwei Tong

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

通訊作者：Man-Hua Chen

審稿制度：否

國別：USA

出版型式：電子版,紙本