Frailty models for arbitrarily censored and truncated data
Ημερομηνία
2004ISSN
1380-7870Source
Lifetime Data AnalysisVolume
10Issue
4Pages
369-388Google Scholar check
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Εμφάνιση πλήρους εγγραφήςΕπιτομή
In this paper, we propose a frailty model for statistical inference in the case where we are faced with arbitrarily censored and truncated data. Our results extend those of Alioum and Commenges (1996), who developed a method of fitting a proportional hazards model to data of this kind. We discuss the identifiability of the regression coefficients involved in the model which are the parameters of interest, as well as the identifiability of the baseline cumulative hazard function of the model which plays the role of the infinite dimensional nuisance parameter. We illustrate our method with the use of simulated data as well as with a set of real data on transfusion-related AIDS. © 2005 Kluwer Academic Publishers.
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