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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

06.08.2018

Commentary: Alignment of time scales and joint models

The authors devoted a considerable amount of effort to explain that when death is an absorbing state of the health process, then the time to death is a deterministic function of the process. Therefore, it is more natural to consider the health …

03.08.2018

Response to discussants of “survival models and health sequences”

Survival studies often generate not only a survival time for each patient but also a sequence of health measurements at annual or semi-annual check-ups while the patient remains alive. Such a sequence of random length accompanied by a survival …

03.08.2018

Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions

There has arisen a considerable body of research addressing the estimation of association between paired failure times in the presence of competing risks. In a 2002 paper, Bandeen-Roche and Liang proposed the conditional cause-specific hazard …

18.07.2018

Contribution to the discussion of ‘Survival models and health sequences’ by W. Dempsey and P. McCullagh

According to the Danish philosopher Kierkegaard ( 1843 ): ‘Livet må leves forlæns, men forstås baglæns’ (‘Life must be lived forwards but understood backwards’). This famous quotation seems relevant for understanding the background of the paper by …

18.07.2018 Open Access

Commentary to the paper by Walter Dempsey and Peter McCullagh

The authors are to be congratulated for a very interesting paper. They are also be thanked for recommending reading chapter 8 of our book on dynamic prediction (van Houwelingen and Putter 2012 ) The data in that chapter are extensively analyzed in …

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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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