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A unifying framework for flexible excess hazard modelling with applications in cancer epidemiology

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Publication:6643976
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DOI10.1111/rssc.12566MaRDI QIDQ6643976

F. J. Rubio, Rosalba Radice, Giampiero Marra, Manuela Quaresma, Alessia Eletti

Publication date: 27 November 2024

Published in: Journal of the Royal Statistical Society. Series C. Applied Statistics (Search for Journal in Brave)




zbMATH Keywords

survival datalink functionleft truncationregression splinespenalized log-likelihoodadditive predictormixed censoringspatial effectsnet survivalexcess hazard


Mathematics Subject Classification ID

Applications of statistics (62Pxx)



Related Items (3)

On near-redundancy and identifiability of parametric hazard regression models under censoring ⋮ Individual frailty excess hazard models in cancer epidemiology ⋮ A spline-based framework for the flexible modelling of continuously observed multistate survival processes






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