Adjusted hazard rate estimator based on a known censoring probability
Communications in Statistics - Theory and Methods
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/21656
In most reliability studies involving censoring, one assumes that censoring probabilities are unknown. We derive a nonparametric estimator for the survival function when information regarding censoring frequency is available. The estimator is constructed by adjusting the Nelson-Aalen estimator to incorporate censoring information. Our results indicate significant improvements can be achieved if available information regarding censoring is used. We compare this model to the Koziol-Green model, which is also based on a form of proportional hazards for the lifetime and censoring distributions. Two examples of survival data help to illustrate the differences in the estimation techniques. © 2011 Copyright Taylor and Francis Group, LLC.
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