The Statistical Analysis of Failure Time Data
Abstract
Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.Introduces the martingale and counting process formulation swil lbe in a new chapter.Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.Presents new examples and applications of data analysis.
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The Poisson Generalized Linear model does not allow relating explanatory variables directly to the time needed for cross-buying.
“The Poisson Generalized Linear model does not allow to relate the explanatory variables directly to the time needed to cross-buying (Fuino and Wagner 2020; Kalbfleisch and Prentice 2002).”
From Factors Driving Duration to Cross-Selling in Non-Life Insurance: New Empirical Evidence from Switzerland (2022) · cites this paper as Kalbfleisch and Prentice 2002
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- Authors
- Kalbfleisch, J. D., & Prentice, R. L.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2002-08-26
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W2977606681
- Cited by
- 3,219
- References
- 0
- Citations by year
- 2026: 153 · 2025: 116 · 2024: 135 · 2023: 144 · 2022: 144 · 2021: 164 · 2020: 129 · 2019: 160 · 2018: 170 · 2017: 155 · 2016: 194 · 2015: 160 · 2014: 180 · 2013: 170 · 2012: 168
- FWCI
- 10.76
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley series in probability and statistics (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- failure time data, survival analysis, left truncation, censoring, martingales, counting processes, Markov model, semi-Markov model
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