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Lifetime Data Analysis

Lifetime Data Analysis

An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data
Editor-in-Chief: Mei-Ling T. Lee
ISSN: 1380-7870 (print version)
ISSN: 1572-9249 (electronic version)
Journal no. 10985
Springer US
Description
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Description
... The only Journal devoted to Statistical Methods and Applications for Lifetime Data ...

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
Impact Factor: 0.491 (2007)
Section "Statistics & probability": Rank 67 of 91
Abstracted/Indexed in:
ABI/INFORM, CAB Abstracts, Current Index to Statistics, EBSCO, Inspec, Mathematical Reviews, PubMed/Medline, Risk Abstracts, Science Citation Index Expanded (SciSearch), SCOPUS, Zentralblatt Math
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