期刊： LIFETIME DATA ANALYSIS, 2021; 27 (3)
Current status data occur in many fields including demographical, epidemiological, financial, medical, and sociological studies. We consider the regre......
期刊： LIFETIME DATA ANALYSIS, 2021; 27 (2)
This paper considers the optimal design for the frailty model with discrete-time survival endpoints in longitudinal studies. We introduce the random e......
期刊： LIFETIME DATA ANALYSIS, 2021; 27 (2)
This paper deals with statistical inference procedure of multivariate failure time data when the primary covariate can be measured only on a subset of......
期刊： LIFETIME DATA ANALYSIS, 2021; 27 (2)
The existence of a cured subgroup happens quite often in survival studies and many authors considered this under various situations (Farewell in Biome......
期刊： LIFETIME DATA ANALYSIS, 2020; 26 (2)
Doubly censored failure time data occur when the failure time of interest represents the elapsed time between two events, an initial event and a subse......
期刊： LIFETIME DATA ANALYSIS, 2020; 26 (4)
Restricted mean survival time is often of direct interest in epidemiologic studies involving censored survival time. In this article, we propose the n......
期刊： LIFETIME DATA ANALYSIS, 2020; 26 (3)
This article discusses regression analysis of right-censored failure time data where there may exist a cured subgroup, and also covariate effects may ......
期刊： LIFETIME DATA ANALYSIS, 2020; 26 (3)
Recurrent event data with a terminal event commonly arise in longitudinal follow-up studies. We use a weighted composite endpoint of all recurrent and......
期刊： LIFETIME DATA ANALYSIS, 2020; 26 (4)
Treatment switching frequently occurs in clinical trials due to ethical reasons. Intent-to-treat analysis without adjusting for switching yields biase......
期刊： LIFETIME DATA ANALYSIS, 2020; 26 (4)
Interval-censored data often arise naturally in medical, biological, and demographical studies. As a matter of routine, the Cox proportional hazards r......
期刊： LIFETIME DATA ANALYSIS, 2019; 25 (1)
The semiparametric additive hazards model is an important way for studying the effect of potential risk factors for right-censored time-to-event data.......
期刊： LIFETIME DATA ANALYSIS, 2019; 25 (3)
Motivated by high-dimensional genomic studies, we develop an improved procedure for adaptive Lasso in high-dimensional survival analysis. The proposed......
期刊： LIFETIME DATA ANALYSIS, 2018; 24 (1)
Interval-censored failure time data and panel count data are two types of incomplete data that commonly occur in event history studies and many method......
期刊： LIFETIME DATA ANALYSIS, 2018; 24 (1)
With the increasing availability of large prospective disease registries, scientists studying the course of chronic conditions often have access to mu......
期刊： LIFETIME DATA ANALYSIS, 2018; 24 (2)
This paper discusses regression analysis of current status failure time data with information observations and continuous auxiliary covariates. Under ......
