Conditional Survival Models
Conditional Survival Models is a statistical survival analysis framework that belongs to the class of time-to-event models, distinguished by its incorporation of time-dependent covariates or random effects to model the hazard function conditional on prior survival and available longitudinal or frailty information.
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2017–2026
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Modelling for Survival Data in Medical Research
Technometrics · 1995 · 2.2K citations
Modelling Survival Data in Medical Research.
Geoffrey J. McLachlan, D. Collett · Biometrics · 1994 · 1K citations
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The University of Texas MD Anderson Cancer Center, United States
11 publications · 777 citations
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The University of Texas MD Anderson Cancer Center
Houston, United States
18 h-index
112 publications
5.6K citations
Harvard University
Cambridge, United States
17 h-index
37 publications
2K citations
University of Michigan
Ann Arbor, United States
16 h-index
36 publications
1.4K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
13 h-index
24 publications
2.8K citations

Johns Hopkins University
Baltimore, United States
13 h-index
60 publications
3.4K citations
Université de Montréal
Montreal, Canada
12 h-index
71 publications
2.9K citations
Oregon Health & Science University
Portland, United States
12 h-index
30 publications
1.7K citations
Erasmus MC
Rotterdam, The Netherlands
12 h-index
42 publications
1.8K citations
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