Computational Survival Analysis
Computational Survival Analysis is a specialized field within statistical computing that focuses on the development and application of computational methods for analyzing time-to-event data, particularly involving censored observations, to estimate survival probabilities and model hazard functions.
251
Publications
21.9K
Citations
1.1K
Authors
484
Institutions
Publications per year
2017–2026
117
251
1–5 of 251
1.1K
3
h-index
3
h-index
3
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3
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3
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1–5 of 1.1K
484
Harvard University
Cambridge, United States
11 h-index
37 publications
2.9K citations
Massachusetts General Hospital
Boston, United States
6 h-index
34 publications
1.3K citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
12 publications
2.9K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
12 publications
1.1K citations
Stanford University
Stanford, United States
5 h-index
19 publications
10.8K citations

Karolinska Institutet
Stockholm, Sweden
5 h-index
10 publications
404 citations

University of Helsinki
Helsinki, Finland
5 h-index
30 publications
2.4K citations

University of Leicester
Leicester, United Kingdom
5 h-index
9 publications
473 citations
1–8 of 484
12 publications · 1.3K citations
12
h-index
10 publications · 523 citations
10
h-index
11 publications · 522 citations
10
h-index
JSS · 6 publications · 2.8K citations
6
h-index
6 publications · 899 citations
6
h-index
1–5