Survival Modeling
Survival Modeling is a statistical methodology used to analyze time-to-event data, specifically distinguished by its focus on estimating the duration until one or more specified events occur within populations in fields such as actuarial science and pharmacoeconomic modeling.
12.7K
Publications
1.1M
Citations
38.2K
Authors
7K
Institutions
Publications per year
2017–2026
3.3K
Variants
Survival ModelsTime-to-event Modeling
12.7K
The Statistical Analysis of Failure Time Data.
Murray Aitkin, John D. Kalbfleisch, Ross L. Prentice · Biometrics · 1981 · 10K citations
1–5 of 12.7K
38.2K
University of North Carolina at Chapel Hill, United States
49 publications · 11.7K citations
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36
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7K
Harvard University
Cambridge, United States
97 h-index
938 publications
90.7K citations
University of Washington
Seattle, United States
74 h-index
458 publications
57.1K citations
The University of Texas MD Anderson Cancer Center
Houston, United States
69 h-index
820 publications
65.2K citations
Fred Hutch Cancer Center
Seattle, United States
68 h-index
393 publications
55.2K citations

Johns Hopkins University
Baltimore, United States
67 h-index
475 publications
44.8K citations
Inserm
Paris, France
65 h-index
651 publications
48.3K citations
Dana-Farber Cancer Institute
Boston, United States
65 h-index
325 publications
52.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
62 h-index
416 publications
29.2K citations
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904 publications · 82.4K citations
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683 publications · 78.6K citations
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443 publications · 122.2K citations
117
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329 publications · 41.5K citations
94
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127 publications · 24.9K citations
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