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A semiparametric shock model for a pair of event-related dependent censored failure times
Authors:Fré    rique Letué  
Affiliation:LJK, Université de Grenoble et CNRS, Tour IRMA, 51, rue des Mathématiques, B.P. 53, 38041 Grenoble cedex 9, France
Abstract:In this paper, we propose a semiparametric shock model for two dependent failure times where the risk indicator of one failure time plays the part of a time-varying covariate for the other one. According to Hougaard [2000. Analysis of Multivariate Survival Data. Springer, New York], the dependence between the two failure times is therefore of event-related type.
Keywords:Bivariate censored data   Bivariate survival analysis   Cox model
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