Semiparametric time-to-event modeling in the presence of a latent progression event.

Abstract

In cancer research, interest frequently centers on factors influencing a latent event that must precede a terminal event. In practice it is often impossible to observe the latent event precisely, making inference about this process difficult. To address this problem, we propose a joint model for the unobserved time to the latent and terminal events, with… (More)
DOI: 10.1111/biom.12580

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