Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks

Quan Zhang, Mingyuan Zhou

Neural Information Processing Systems 

Apart from modeling the time to event, in the presence of competing risks, it is also important to model the event type, or under which risk the event is likely to occur first. Though one can censor subjects with an occurrence of the event under a competing risk other than the risk of special interest, so that every survival model that can handle censoring is able to model competing risks, it is problematic to violate the principle of non-informative censoring [18, 19].

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