A Proportional Hazards Cure Model for the Analysis of Time to Event with Frequently Unidentifiable Causes
2007
Dahlberg, Suzanne E. | Wang, Molin
We propose a semiparametric method for the analysis of maskedâcause failure data that are also subject to a cure. We present estimators for the failure time distribution, the cure rate, and the covariate effect on each of these, assuming a proportional hazards cure model for the time to event of interest and we use the expectation–maximization algorithm to conduct the likelihood maximization. The method is applied to data from a breast cancer clinical trial.
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