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Lifetime Data Analysis

An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data

Lifetime Data Analysis OnlineFirst articles


Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling

Restricted mean survival time is often of direct interest in epidemiologic studies involving censored survival time. In this article, we propose the nonparametric and semiparametric estimators of the mean restricted to the preassigned interval …


Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causes

This paper studies the Cox model with time-varying coefficients for cause-specific hazard functions when the causes of failure are subject to missingness. Inverse probability weighted and augmented inverse probability weighted estimators are …


Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data

Interval-censored data often arise naturally in medical, biological, and demographical studies. As a matter of routine, the Cox proportional hazards regression is employed to fit such censored data. The related work in the framework of additive …


Estimation of treatment effects and model diagnostics with two-way time-varying treatment switching: an application to a head and neck study

Treatment switching frequently occurs in clinical trials due to ethical reasons. Intent-to-treat analysis without adjusting for switching yields biased and inefficient estimates of the treatment effects. In this paper, we propose a class of …

25.01.2020 Open Access

Semiparametric regression and risk prediction with competing risks data under missing cause of failure

The cause of failure in cohort studies that involve competing risks is frequently incompletely observed. To address this, several methods have been proposed for the semiparametric proportional cause-specific hazards model under a missing at random …

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Über diese Zeitschrift

Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including actuarial science, economics, engineering, environmental sciences, management, medicine, operations research, public health, and social and behavioral sciences.

A partial list of topics reflecting the broad range of interests covered in the journal includes accelerated failure time models, degradation processes, meta-analysis, models for multiple events, nonparametric estimation of survival functions, quality-of-life models, rank tests for comparing lifetime distributions, and reliability methods.

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Lifetime Data Anal

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