Survival Model Selection
Survival Model Selection is a methodological process within computational survival analysis that systematically evaluates and identifies the most appropriate survival model from a set of candidate models based on predefined performance criteria, statistical properties, and data characteristics.
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5.6K
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392
Authors
196
Institutions
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2017–2026
26
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Survival Models and Data Analysis
André I. Khuri · Journal of Quality Technology · 1981 · 609 citations
Roger B. Davis, James R. Anderson · Statistics in Medicine · 1989 · 188 citations
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Inserm
Paris, France
5 h-index
17 publications
300 citations
Yale University
New Haven, United States
4 h-index
6 publications
209 citations

Institut Gustave Roussy
Villejuif, France
3 h-index
7 publications
158 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
5 publications
165 citations
University of Iowa
Iowa City, United States
3 h-index
3 publications
80 citations
Université Paris-Saclay
Gif-sur-Yvette, France
3 h-index
6 publications
125 citations
Northwestern University
Evanston, United States
3 h-index
17 publications
613 citations

Johns Hopkins University
Baltimore, United States
3 h-index
3 publications
198 citations
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10 publications · 1.1K citations
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MDM · 4 publications · 669 citations
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4 publications · 436 citations
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3 publications · 199 citations
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2 publications · 92 citations
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