Continuous-time Survival Models
Continuous-Time Survival Models is a statistical modeling framework that belongs to the class of survival analysis methods, distinguished by its specification of the hazard function as a continuous function of time, enabling the estimation of event occurrence probabilities at any instant without discretization of the time scale.
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Modelling for Survival Data in Medical Research
Technometrics · 1995 · 2.2K citations
Martingale-based residuals for survival models
Terry M. Therneau, Patricia M. Grambsch, T. R. FLEMING · Biometrika · 1990 · 1.1K citations
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Harvard University
Cambridge, United States
8 h-index
12 publications
717 citations

Karolinska Institutet
Stockholm, Sweden
6 h-index
10 publications
792 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
7 publications
294 citations
University of Pittsburgh
Pittsburgh, United States
5 h-index
6 publications
281 citations
University of Washington
Seattle, United States
5 h-index
5 publications
7K citations
Ludwig-Maximilians-Universität München
Munich, Germany
5 h-index
9 publications
719 citations

Johns Hopkins University
Baltimore, United States
5 h-index
10 publications
1.8K citations
Universidade de São Paulo
São Paulo, Brazil
4 h-index
9 publications
714 citations
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