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Zeitschrift

Lifetime Data Analysis

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

Lifetime Data Analysis OnlineFirst articles

19.01.2019 Open Access

Partially hidden multi-state modelling of a prolonged disease state defined by a composite outcome

For rheumatic diseases, Minimal Disease Activity (MDA) is usually defined as a composite outcome which is a function of several individual outcomes describing symptoms or quality of life. There is ever increasing interest in MDA but relatively …

07.01.2019

Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data

We propose a two-stage outcome-dependent sampling design and inference procedure for studies that concern interval-censored failure time outcomes. This design enhances the study efficiency by allowing the selection probabilities of the …

17.12.2018

Copula-based score test for bivariate time-to-event data, with application to a genetic study of AMD progression

Motivated by a genome-wide association study to discover risk variants for the progression of Age-related Macular Degeneration (AMD), we develop a computationally efficient copula-based score test, in which the dependence between bivariate …

12.12.2018

Robust estimation for panel count data with informative observation times and censoring times

We consider the semiparametric regression of panel count data occurring in longitudinal follow-up studies that concern occurrence rate of certain recurrent events. The analysis of panel count data involves two processes, i.e, a recurrent event …

11.12.2018

Confidence intervals for the cumulative incidence function via constrained NPMLE

The cumulative incidence function (CIF) displays key information in the competing risks setting, which is common in medical research. In this article, we introduce two new methods to compute non-parametric confidence intervals for the CIF. First …

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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.

Officially cited as:

Lifetime Data Anal

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