HIGHLIGHTS
SUMMARY
To tackle this, the proportional hazard model is most commonly used as the regression model for survival time. The authors propose the mixture cure model based on the accelerated failure time (AFT) model with frailty, a latent variable that expresses the heterogeneity of the individuals, which enables the model to be more flexible. One of the competitive models is a mixture cure model that assumes the proportional hazard model in the survival function for uncured patients. The assumption of the AFT model in the survival function for uncured patients allows the authors to consider . . .
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