Multi-level Survival Models
Multi-Level Survival Models is a statistical modeling framework that extends standard survival analysis by incorporating hierarchical or nested data structures, allowing for the estimation of time-to-event outcomes while accounting for correlated failures arising from multiple levels of clustering or random effects.
137
Publications
9.2K
Citations
391
Authors
250
Institutions
Publications per year
2017–2026
32
137
Survival Models and Data Analysis
André I. Khuri · Journal of Quality Technology · 1981 · 609 citations
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250

University of Toronto
Toronto, Canada
5 h-index
11 publications
345 citations
University of Michigan
Ann Arbor, United States
5 h-index
8 publications
833 citations

University of Leicester
Leicester, United Kingdom
4 h-index
4 publications
137 citations
Institute for Clinical Evaluative Sciences
Toronto, Canada
4 h-index
7 publications
678 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
7 publications
232 citations
Harvard University
Cambridge, United States
4 h-index
7 publications
210 citations
Erasmus MC
Rotterdam, The Netherlands
3 h-index
6 publications
296 citations

McMaster University
Hamilton, Canada
3 h-index
8 publications
222 citations
1–8 of 250
11 publications · 593 citations
11
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7 publications · 244 citations
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6 publications · 1.1K citations
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4 publications · 266 citations
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4 publications · 233 citations
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