Hierarchical Dependency Models for Multivariate Survival Data with Censoring |
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Authors: | Gross Shulamith Huber Catherine |
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Affiliation: | (1) The City University of New York, Baruch College, 17 Lexington av., 10010, New York;(2) Université de Paris V, René Descartes, 45 rue des Saints-Pères, 75 006 Paris |
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Abstract: | A familyof partial likelihood logistic models is proposed for clusteredsurvival data that are reported in discrete time and that maybe censored. The possible dependence of individual survival timeswithin clusters is modeled, while distinct clusters are assumedto be independent. Two types of clusters are considered. First,all clusters have the same size and are identically distributed.Second, the clusters may vary in size. In both cases our asymptoticresults apply to a large number of small independent clusters. |
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Keywords: | Survival data clusters censoring partial logistic likelihood discrete time hazard rates |
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