Failure-time Models
Failure-Time Models is a statistical modeling framework that specifies the distribution of time until an event of interest occurs, distinguished from other time-to-event models by its focus on the timing and determinants of discrete transitions or failures in continuous time.
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The Statistical Analysis of Failure Time Data.
Murray Aitkin, John D. Kalbfleisch, Ross L. Prentice · Biometrics · 1981 · 10K citations
The Statistical Analysis of Failure Time Data
John P. Klein · Technometrics · 1982 · 2.2K citations
The Statistical Analysis of Failure Time Data
Walter R. Young · Journal of Quality Technology · 1981 · 1.7K citations
The Analysis of Failure Times in the Presence of Competing Risks
Ross L. Prentice, John D. Kalbfleisch, Arthur V. Peterson et al. · Biometrics · 1978 · 1.5K citations
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Harvard University
Cambridge, United States
32 h-index
96 publications
7.6K citations
Fred Hutch Cancer Center
Seattle, United States
24 h-index
45 publications
13.3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
18 h-index
38 publications
1.9K citations

Johns Hopkins University
Baltimore, United States
17 h-index
36 publications
2.3K citations
Cancer Research And Biostatistics
Seattle, United States
16 h-index
23 publications
1.6K citations
University of Washington
Seattle, United States
16 h-index
26 publications
2.2K citations
University of Missouri
Columbia, United States
15 h-index
34 publications
724 citations
University of Michigan
Ann Arbor, United States
14 h-index
26 publications
1.5K citations
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