Cited by 3,219Statistical Methods and InferenceStatistical Distribution Estimation and ApplicationsProbability and Statistical Research

The Statistical Analysis of Failure Time Data

Kalbfleisch, John D., Prentice, Ross L.·2002·Wiley Series in Probability and Statistics

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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Crossref · 10.1002/9781118032985

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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).”

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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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