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Mixture Cure Model

The mixture cure model, first proposed by Boag in 1949 for cancer survival data, is a parametric survival model that explicitly accounts for a fraction of subjects who will never experience the event of interest — the so-called cured or immune fraction. It is the appropriate tool whenever the Kaplan-Meier curve levels off into a long, stable plateau rather than continuing to decline, indicating that a proportion of subjects are permanently event-free.

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Mixture Cure Model (Cure Fraction Model)

Taksonomisk metoderegister · survival / survival

Boag, J. W. (1949). Maximum Likelihood Estimates of the Proportion of Patients Cured. Journal of the Royal Statistical Society B, 11(1), 15–53. · URL

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Same method familyKaplan-Meiermachine-suggested · Relational suggestion, not evidence.Same method familyLog-Rank Testmachine-suggested · Relational suggestion, not evidence.