… have also been extended beyond the Cox model. As a useful alternative to the Cox model,
the additive hazards model assumes that the hazard function of a failure time T conditional on …

… In this paper, we develop the comparable estimator for the additive hazards regression
model by placing a suitable prior process on the baseline cumulative hazard function, H0(t) = …

… We propose an additive hazards model with latent variables to investigate the observed
and latent risk factors of the failure time of interest. Each latent risk factor is characterized by …

… be used to fit the additive hazards model, after some straightforward data manipulations.
We then apply the additive hazards model to examine the relationship between Model for End-…

… hazards model (Cox model) and additive hazards models were used for multivariate analysis.
The additive hazards regression models … ’s additive hazards model (Aalen model) and Lin …

… This paper proposes an estimating equation-based approach for regression … model the
failure time with the additive hazards model. Specifically, we assume that T i has the hazard …

… approach to modeling the conditional hazard function that … of the conditional hazard
function with linear models. The … allowed them to fit an additive model with time-varying coef…

… hazard estimation in both additive and multiplicative cases. One-step and m-step approximations
to maximum likelihood estimators in parametric models … of kernel hazard estimators in …

… additive hazard model for recurrent event data. The extension by Scheike (2002), where
the model is presented as a marginal model, is … between some simple additive models, both …

… In particular, in the regression context additive models allow for the following interpretation…
hazard rate of the conditional distribution of the failure time Y given X, then the additive model …