论文信息 - Cure Rate Model with Measurement Error

Cure Rate Model with Measurement Error

Censoring is a common feature in survival data, usually associated with loss to follow-up. However, when the fraction of censored data is high, it may indicate that part of the experimental units are no longer at risk of presenting the event of interest. In this article we consider the approach of Chen et al. (1999) for such situation, and discuss the case where covariates may be measured with error. Simulations and an application to a real dataset are also presented.

Heleno Bolfarine | Antonio Carlos Pedroso de Lima | Marcia F. Mizoi | H. Bolfarine | Marcia F. Mizoi

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