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
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- Mei-Ling Ting Lee
- Publishing model
- Hybrid. Open Access options available.
Journal metrics
- 0.948 (2018)
- Impact factor
- 1.144 (2018)
- Five year impact factor
- 64 days
- Submission to first decision
- 14 days
- Acceptance to publication
- 33,598 (2018)
- Downloads
Latest articles
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Multiple event times in the presence of informative censoring: modeling and analysis by copulas
Authors (first, second and last of 4)
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Tree-based modeling of time-varying coefficients in discrete time-to-event models
Authors (first, second and last of 6)
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Prognostic score matching methods for estimating the average effect of a non-reversible binary time-dependent treatment on the survival function
Authors (first, second and last of 5)
Journal updates
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English Language Editing Services
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- Full Journal access includes all articles
- Downloadable in PDF
- Subscription expires 12/31/2019
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About this journal
- Electronic ISSN
- 1572-9249
- Print ISSN
- 1380-7870
- Abstracted and indexed in
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- CAB Abstracts
- Current Index to Statistics
- EBSCO Biomedical Reference Collection
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- Research Papers in Economics (RePEc)
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- zbMATH
- Copyright information
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