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Empirical Likelihood in Survival Analysis
[chapter]
2005
Contemporary Multivariate Analysis and Design of Experiments
Preserved Fulltext
Since the pioneering work of Thomas and Grunkemeier (1975) and Owen (1988) , the empirical likelihood has been developed as a powerful nonparametric inference approach and become popular in statistical literature. There are many applications of empirical likelihood in survival analysis. In this paper, we present an overview of some recent developments of the empirical likelihood for survival data. We will focus our attentions on the two regression models: the Cox proportional hazards model and the accelerated failure time model.
doi:10.1142/9789812567765_0020
fatcat:st7kusdt3zhz3mrixeem4umnuq