Web-based supporting information for “A Bayesian semiparametric partially PH model for clustered time-to-event data”
نویسندگان
چکیده
This supplementary material contains: i) the proofs of Proposition 1, Proposition 2 and Proposition 3, ii) details on the Markov chain Monte Carlo algorithm used to sample from the joint posterior distribution of the parameters, for both the conditional partially PH model and the shared frailty PH model, iii) complementary results from both the simulation study and the analysis of the insurance data.
منابع مشابه
A Bayesian semiparametric partially PH model for clustered time-to-event data
A standard approach for dealing with unobserved heterogeneity and clustered time-toevent data within the proportional hazards (PH) context has been the introduction of a cluster-specific random effect (frailty) that is common to subjects within the same cluster. PH models with shared random effects have been widely employed because they provide useful summary information in the absence of estim...
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