Semiparametric analysis of clustered interval-censored survival data with a cure fraction

A generalization of the semiparametric Cox’s proportional hazards model by means of a random effect or frailty approach to accommodate clustered survival data with a cure fraction is considered. The frailty serves as a quantification of the health condition of the subjects under study and may depend...

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Veröffentlicht in:	Computational statistics & data analysis 2014-11, Vol.79, p.165-174
Hauptverfasser:	Lam, K.F., Wong, Kin-Yau
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymptotic normal data augmentation Clustered interval-censored data Clustering Correlation Cure model Cures Frailty Hazards Heterogeneity Mathematical models Statistics Survival Survival analysis
Online-Zugang:	Volltext
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