Spline-based Survival Models
Spline-Based Survival Models is a statistical modeling framework within survival analysis that uses spline functions to flexibly model the time-varying effects of covariates or the baseline hazard function, thereby enabling more accurate and smooth estimations of survival probabilities compared to traditional parametric or piecewise approaches.
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656
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351
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2017–2026
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Flexible regression models with cubic splines
Sylvain Durrleman, Richard Simon · Statistics in Medicine · 1989 · 2.7K citations
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351

University of Leicester
Leicester, United Kingdom
12 h-index
25 publications
2.6K citations

Karolinska Institutet
Stockholm, Sweden
8 h-index
20 publications
1.5K citations
Harvard University
Cambridge, United States
8 h-index
20 publications
1.7K citations

McGill University
Montreal, Canada
7 h-index
15 publications
532 citations
University of Washington
Seattle, United States
6 h-index
6 publications
598 citations
Boston University
Boston, United States
5 h-index
9 publications
450 citations
University College London
London, United Kingdom
5 h-index
9 publications
300 citations
National Cancer Institute
Bethesda, United States
5 h-index
9 publications
314 citations
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22 publications · 5.8K citations
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12 publications · 1K citations
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CSDA · 5 publications · 175 citations
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4 publications · 98 citations
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3 publications · 75 citations
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