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The main purpose of this work is to study the effect that a large percentage of right censoring has on the estimation of the regression parameters under a proportional hazards model. To accomplish this we conduct a simulation study for different scenarios and compute the performance of the estimator by means of their bias, variance, mean squared error, relative bias and percentage of coverage.
CitationLópez-Segovia, L.; Gómez, G.; Espinal, A. Heavy right censoring: when is too heavy?. A: Conferencia Española de Biometría. "XII Conferencia Española de Biometría". Cádiz: 2009, p. 147-148.
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