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Applied Survival Analysis Using R
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Metadata
- Authors
- Moore, D. F.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Moore, Dirk F.
- ORCID
- Moore, Dirk F.
- Venue
- Use R!
- Publisher
- Springer International Publishing
- Published
- 2016
- ISSN
- 2197-5736 (ISSN-L)
- 2197-5744
- OpenAlex
- W2491117609
- Cited by
- 270
- References
- 0
- Citations by year
- 2026: 17 · 2025: 20 · 2024: 45 · 2023: 27 · 2022: 39 · 2021: 35 · 2020: 38 · 2019: 25 · 2018: 13 · 2017: 10
- FWCI
- 4.83
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Use R! (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- DIAL (Catholic University of Leuven) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- survival analysis, R programming language, censored data, Kaplan-Meier estimator, Cox proportional hazards model, nonparametric estimation, parametric survival models
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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