… 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 …

… Additive Models Here we survey a regression-like model that directly confronts the possibility
of nonlinearity: generalized additive models (… discrete hazard model estimates the hazard …

… We have proposed a causal estimator of the hazard ratio of a Cox regression model from
right censored data using IVs. We evaluated the estimator in simulations and demonstrated its …

… These all fit models on the hazard scale which enables modelling of the excess hazard rate.
… Here we show that the GLM model of Dickman and the additive covariate models can be …

… ’s additive hazards regression model is a useful alternative to the proportional hazards model
for censored data regression. … of the crude estimate of the hazard rate of each group as …

… In this article, we consider the fitting of the additive hazards model to misclassified current
status data and one of the main challenges for this is the development of a reliable estimation …

… the estimate method for the additive hazards model with random effects. To this point, …
additive hazards model with random effects. Specifically, we propose the additive hazards model …

… In this work, we extend the additive hazard model studied in … (on the hazard) and quantify
the bias of using the observed hazard … causal model for which we can define the causal hazard …

… ) 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 …

… Additive–multiplicative hazard model is a natural extension of the proportional hazard model
and the additive hazard model … functions to estimate the regression parameters. However, …