survBayes: A introduction into the package
نویسندگان
چکیده
This software fits a multivariate proportional hazards model to interval censored event data by a Bayesian approach. Right and interval censored data and a lognormal or gamma frailty term can be fitted. An example is studied and the output analysed. 1 The basic model The data, based on a sample of size n, consists of the triple (ti, δi,xi), i = 1, . . . , n where ti is the time on study for subject i, δi is the event indicator for subject i (δi = 1 if event has occurred, δi = 0 if the observation is right censored), xi is the r-dimensional vector of covariate values for subject i. The likelihood contribution of the i-th single observation is given by λ0(ti|xi)S(ti|xi) = exp { δi[h(ti) + β′x]− e ′x ∫ ti
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