… predicting the long-term survival probabilities of patients in … model is that once the regression
parameters are estimated … regression parameters in a model for the long-term survival rate. …

… of the parameter estimates of discrete survival models, especially since the start of the credit
crisis of 2008. Two survival models are … We find that the two sets of parameter estimates are …

… parametric estimation of the survival function. If the data were not censored, the obvious
estimate would be the empirical survival … obtained estimates of the baseline hazard and survival, …

… in the estimation of gerontologic survival model parameters. … consider the accuracy of the
estimates even when the exact life … These data allow survival model parameter estimates to be …

… Bayesian survival analysis offers multiple advantages over the frequentist approach for …
interest in Bayesian survival models. This paper shows that Bayesian survival models can be …

… model, which is the simplest parametric survival model in that the hazard is constant over
time (ie, h(t) ž l). The model … The parameter estimates are listed under the column called Coef. …

… Parameters estimated are statespecific survival rates … model provides a valuable framework
to evaluate important ecological questions. For example, estimation of state-specific survival …

… Our approach is based on standard bootstrap sampling and provides ‘honest’ [9, 22] CIs
by allowing for variable selection, parameter estimation and model misspecification in the …

… As ‘overall mean hazard’ we can take a smoothed version of the nonparametric estimate
of the overall cumulative hazard in the new data or we can take a simple Weibull …

… likelihood and related estimation methods applied to parametric survival data models. The
aspects we shall care about include large-sample behaviour when the parametric model is a …