Skip to main content

Lifetime Data Analysis OnlineFirst articles

Open Access 15-02-2024

The built-in selection bias of hazard ratios formalized using structural causal models

It is known that the hazard ratio lacks a useful causal interpretation. Even for data from a randomized controlled trial, the hazard ratio suffers from so-called built-in selection bias as, over time, the individuals at risk among the exposed and …

Authors:
Richard A. J. Post, Edwin R. van den Heuvel, Hein Putter

18-01-2024

Quantile difference estimation with censoring indicators missing at random

In this paper, we define estimators of distribution functions when the data are right-censored and the censoring indicators are missing at random, and establish their strong representations and asymptotic normality. Besides, based on empirical …

Authors:
Cui-Juan Kong, Han-Ying Liang

28-11-2023

A Bayesian proportional hazards mixture cure model for interval-censored data

The proportional hazards mixture cure model is a popular analysis method for survival data where a subgroup of patients are cured. When the data are interval-censored, the estimation of this model is challenging due to its complex data structure.

Authors:
Chun Pan, Bo Cai, Xuemei Sui

26-11-2023

Efficiency of the Breslow estimator in semiparametric transformation models

Semiparametric transformation models for failure time data consist of a parametric regression component and an unspecified cumulative baseline hazard. The nonparametric maximum likelihood estimator (NPMLE) of the cumulative baseline hazard can be …

Authors:
Theresa P. Devasia, Alexander Tsodikov

13-11-2023

Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea

In a semi-competing risks model in which a terminal event censors a non-terminal event but not vice versa, the conventional method can predict clinical outcomes by maximizing likelihood estimation. However, this method can produce unreliable or …

Authors:
Jayoun Kim, Boram Jeong, Il Do Ha, Kook-Hwan Oh, Ji Yong Jung, Jong Cheol Jeong, Donghwan Lee