Approximate Bayesian inference for mixture cure models
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DOI: 10.1007/s11749-019-00679-x
Abstract: Cure models in survival analysis deal with populations in which a part of the individuals cannot experience the event of interest. Mixture cure models consider the target population as a mixture of susceptible and non-susceptible… read more here.
Keywords: bayesian inference; mixture cure; cure; mixture ... See more keywords
Copula based dependent censoring in cure models
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DOI: 10.1007/s11749-024-00961-7
Abstract: In this paper we consider a time-to-event variable $T$ that is subject to random right censoring, and we assume that the censoring time $C$ is stochastically dependent on $T$ and that there is a positive… read more here.
Keywords: cure models; censoring cure; dependent censoring; model ... See more keywords
Joint longitudinal and time-to-event cure models for the assessment of being cured
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DOI: 10.1177/0962280219853599
Abstract: Medical time-to-event studies frequently include two groups of patients: those who will not experience the event of interest and are said to be “cured” and those who will develop the event and are said to… read more here.
Keywords: joint longitudinal; time; time event; event ... See more keywords