Lifetime Data Analysis
An International Journal Devoted to Statistical Methods and Applications for Time-to-Event 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
Practical considerations when analyzing discrete survival times using the grouped relative risk model
- Journal Title
- Lifetime Data Analysis
- Volume 1 / 1995 - Volume 23 / 2017
- Print ISSN
- Online ISSN
- Springer US
- Additional Links
- Industry Sectors
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