… A joint-effect analysis is recommended in the STROBE statement partly to allow researchers
to translate relative risks into an additive scale, and thereby assess deviation from additivity. …

… We considered the Lin and Ying's model [10] to be an additive hazards model in our data
analysis. The … or represent coefficient function for added risks. A naïve way of comparing the …

… SUMMARY In contrast to the proportional hazards model, the additive risk model specifies
that the hazard function associated with a set of possibly time-varying covariates is the sum of, …

… Cox's (1972) proportional hazards model has so far been the most popular model for the
regression analysis of censored survival data. However, the additive risk model of Aalen (1980) …

… framework, our analysis provides new insights into the modeling of natural hazards and
yields valuable results for the prediction and management of climate impacted risks. A more …

… an additive hazards model with latent variables to investigate the observed and latent risk
factors … The proportional and the additive hazards (AH) models are two popular frameworks in …

… form can be interpreted loosely in terms of unobserved competing risks since the hazard
function … This claim was based on an analysis using separate proportional hazards models for …

… In Section 4 we apply the additive risk model to the analysis of grouped data on the incidence
of cancer mortality among Japanese atomic bomb survivors. The asymptotic distribution of …

… In this article the semiparametric additive hazards model for analysis of competing ri missing
cause of failure. Different estimating equation approaches using probability weighted and …

… The nonparametric Aalen’s additive hazards model, semiparametric Lin and Ying’s additive
hazards model and Cox proportional hazards model were applied for data analysis. The …