Semi-parametric Frailty Models
Semi-Parametric Frailty Models is a class of survival regression models that incorporate unobserved random effects (frailties) to account for heterogeneity or clustering in time-to-event data, where the baseline hazard function is left unspecified, allowing nonparametric estimation while the frailty distribution and regression parameters are parametrically modeled.
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2017–2026
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Modeling Spatial Survival Data Using Semiparametric Frailty Models
Yi Li, Louise Ryan · Biometrics · 2002 · 97 citations
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Fred Hutch Cancer Center
Seattle, United States
5 h-index
6 publications
172 citations
Harvard University
Cambridge, United States
4 h-index
4 publications
166 citations
Seoul National University
Seoul, South Korea
4 h-index
6 publications
160 citations

Pukyong National University
Busan, South Korea
4 h-index
6 publications
160 citations
Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
6 publications
121 citations
Inserm
Paris, France
3 h-index
8 publications
368 citations

Johns Hopkins University
Baltimore, United States
3 h-index
4 publications
224 citations
Hebrew University of Jerusalem
Jerusalem, Israel
3 h-index
5 publications
56 citations
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11 publications · 542 citations
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Repository · 4 publications · 86 citations
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