Cross-validated Survival Models
Cross-Validated Survival Models is a survival modeling methodology that employs cross-validation techniques to assess and optimize the generalizability of survival predictions by systematically partitioning data into training and validation sets to mitigate overfitting and ensure robust performance across diverse cohorts.
47
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4.7K
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401
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141
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2017–2026
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Cross‐validation in survival analysis
Hans C. van Houwelingen · Statistics in Medicine · 1993 · 272 citations
Medicine, Biostatistics, Oncology +16
Andrew Kidd, Michael McGettrick, Selina Tsim et al. · BMJ Open Respiratory Research · 2018 · 223 citations · Full text
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Inserm
Paris, France
3 h-index
10 publications
189 citations
Leiden University
Leiden, The Netherlands
3 h-index
5 publications
3.7K citations

Keele University
Newcastle-under-Lyme, United Kingdom
2 h-index
12 publications
663 citations
University of Oxford
Oxford, United Kingdom
2 h-index
3 publications
190 citations
Nagoya University
Nagoya, Japan
2 h-index
2 publications
122 citations
Duke University
Durham, United States
2 h-index
10 publications
350 citations
National Cancer Institute
Bethesda, United States
2 h-index
7 publications
540 citations

University of Alabama at Birmingham
Birmingham, United States
2 h-index
6 publications
229 citations
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6 publications · 675 citations
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2 publications · 83 citations
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2 publications · 39 citations
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2 publications · 87 citations
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1 publications · 1.7K citations
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