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 (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 0.794 (2019)
- Impact factor
- 1.078 (2019)
- Five year impact factor
- 85 days
- Submission to first decision
- 462 days
- Submission to acceptance
- 34,059 (2019)
- Downloads
Latest issue
Latest articles
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Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information
Authors (first, second and last of 5)
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Semi-parametric survival analysis via Dirichlet process mixtures of the First Hitting Time model
Authors
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Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes
Authors (first, second and last of 5)
Journal updates
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COVID-19 and Impact on Peer Review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.
Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time. -
Recent Top Cited Papers
Lifetime Data Analysis highlights some of the recent top cited papers from the journal.
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Top Downloaded Papers for 2019
Lifetime Data Analysis highlights some of the top downloaded papers from the journal in 2019.
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Open Access Articles
Read recently published open access articles from Lifetime Data Analysis.
About this journal
- Electronic ISSN
- 1572-9249
- Print ISSN
- 1380-7870
- Abstracted and indexed in
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- ANVUR
- Australian Business Deans Council (ABDC) Journal Quality List
- CAB Abstracts
- CNKI
- Current Index to Statistics
- Dimensions
- EBSCO Biomedical Reference Collection
- EBSCO Business Source
- EBSCO CINAHL
- EBSCO Discovery Service
- EBSCO Health Policy Reference Center
- EMCare
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Mathematical Reviews
- Medline
- Naver
- OCLC WorldCat Discovery Service
- ProQuest ABI/INFORM
- ProQuest Business Premium Collection
- ProQuest Central
- ProQuest Engineering
- ProQuest Health & Medical Collection
- ProQuest Health Research Premium Collection
- ProQuest Healthcare Administration Database
- ProQuest Materials Science and Engineering Database
- ProQuest Medical Database
- ProQuest Pharma Collection
- ProQuest Public Health Database
- ProQuest SciTech Premium Collection
- ProQuest Science Database
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- Research Papers in Economics (RePEc)
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- TD Net Discovery Service
- UGC-CARE List (India)
- zbMATH
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature
