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
  • Only journal dedicated to statistical methods and applications for lifetime data
  • Advances statistical science in applied fields that deal with lifetime data, including actuarial science, economics, engineering, environmental sciences, management, medicine, operations, public health, and social and behavioral sciences

Journal information

Editor-in-Chief
  • Mei-Ling Ting Lee
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.588 (2020)
Impact factor
1.686 (2020)
Five year impact factor
69 days
Submission to first decision
424 days
Submission to acceptance
37,408 (2020)
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This journal has 23 open access articles

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About this journal

Electronic ISSN
1572-9249
Print ISSN
1380-7870
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