… based on the additive hazards model. The emphasis is on a … the additive hazards model and
a sequential linear model for … survival as well as cumulative hazards. Our results generalize …

… ) or a Cox model (Cox, 1972). We show that there is an advantage to using conditional
additive hazard models for the data simulation, because this results in an additive form for the …

… specific hazard functions … hazards regression model leading to direct inference on the
cumulative incidence function. Others have proposed regression methods that more directly model …

… We develop a novel semiparametric hazards regression model by modeling the hazard
function as a product of a parametric baseline hazard function and a nonparametric component …

… the general framework of flexible hazard-based regression models and describe their
extension to excess hazard and mixed-effect (possibly, excess) hazard models. We then proceed …

… This representation contains, for instance, the additive hazards model 40 h E AD ( t ; x j )
= h 0 ( t ) + x j T β , which we do not consider here as it requires additional conditions to …

… regression models), and other regression functions (such as the … regression function in the
heteroscedastic regression model, … model can also be applied to the proportional hazards …

… We find strong non-linear effects for the baseline hazard, the household size, the year of
birth, and the mother’s BMI. We find considerable differences in determinants between Asian …

… The additive hazards model is one of the most commonly used model in regression analysis
of failure time data and many estimation procedures have been developed for its inference …

… We introduce a class of nonparametric additive functional Cox regression models for
quantifying the … However, here we focus on generalizing the Cox proportional hazard model. …