期刊： LIFETIME DATA ANALYSIS, 2023; ()
The Kaplan-Meier estimator is ubiquitously used to estimate survival probabilities for time-to-event data. It is nonparametric, and thus does not requ......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (1)
The incubation period is a key characteristic of an infectious disease. In the outbreak of a novel infectious disease, accurate evaluation of the incu......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (4)
The Nun study is a well-known longitudinal epidemiology study of aging and dementia that recruited elderly nuns who were not yet diagnosed with dement......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (3)
For discrete-time survival data, conditional likelihood inference in Cox's hazard odds model is theoretically desirable but exact calculation is numer......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (3)
The case-cohort design was developed to reduce costs when disease incidence is low and covariates are difficult to obtain. However, most of the existi......
期刊： LIFETIME DATA ANALYSIS, 2023; ()
Analyzing the causal mediation of semi-competing risks has become important in medical research. Semi-competing risks refers to a scenario wherein an ......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (3)
Interval-censored failure time data arise commonly in various scientific studies where the failure time of interest is only known to lie in a certain ......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (1)
We develop an efficient algorithm to compute the likelihood of the phase-type ageing model. The proposed algorithm uses the uniformisation method to s......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (4)
Despite the urgent need for an effective prediction model tailored to individual interests, existing models have mainly been developed for the mean ou......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (4)
I present some personal memories and thoughts on Cox's 1972 paper Regression Models and Life-Tables.
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (2)
The analysis of recurrent events in the presence of terminal events requires special attention. Several approaches have been suggested for such analys......
期刊： LIFETIME DATA ANALYSIS, 2023; ()
Clustered and multivariate failure time data are commonly encountered in biomedical studies and a marginal regression approach is often employed to id......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (1)
Over the last decades, the challenges in survival models have been changing considerably and full probabilistic modeling is crucial in many medical ap......
期刊： LIFETIME DATA ANALYSIS, 2023; 29 (2)
Multi-state models are used to describe how individuals transition through different states over time. The distribution of the time spent in different......
