In the last two chapters, we examined regression models for survival data based on a
proportional hazards model. In this model, the effect of the covariates was to act …

In survival analysis, the multiplicative risk model (Cox [4]) and the additive model (Aalen [l])
provide the two principal frameworks for the regression analysis of censored survival data …

Survival analysis examines and models the time it takes for events to occur. It focuses on the
distribution of survival times. Survival data is time-to-event data, such as time to death …

Over the past few decades, a substantial number of books have been published on the topic
of survival analysis. This book is aimed at advanced graduate students and statistical …

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, rather …

The additive hazards regression model relates the conditional hazard function of the failure
time linearly to the covariates. This formulation complements the familiar proportional …

Abstract 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 …

In Chapter 8, we modeled the hazard function for an individual as a function of fixed-time
covariates. These are explanatory variables recorded at the start of the study whose values …

The additive hazards model specifies that the hazard function conditional on a set of
covariates is the sum of an arbitrary baseline hazard function and a regression function of …

A family of proportional-and additive-hazards models for the analysis of grouped survival
data is developed. This family generalizes the unpublished work of FJ Aranda-Ordaz and …