Background Statistical analysis of lifetime data is frequently used in the biomedical area. Our
objective was to present a comparative review of the different regression models according …

Background Relative survival is a method of analysis of failure-time data used to estimate
the net survival. Cancer registries frequently use this method. The main regressive models …

In many prognostic studies focusing on mortality of persons affected by a particular disease,
the cause of death of individual patients is not recorded. In such situations, the conventional …

A natural way of modelling relative survival through regression analysis is to assume an
additive form between the expected population hazard and the excess hazard due to the …

Relative survival is used extensively in population‐based cancer studies to measure patient
survival correcting for causes of death not related to the disease of interest. An advantage of …

Relative survival is a method for assessing prognostic factors for disease-specific mortality.
However, most relative survival models assume that the effect of covariate on disease …

Relative survival, the survival analogue of excess mortality, is the method of choice for
estimating patient survival using data collected by populationbased cancer registries. The …

Regression‐based relative survival models are commonly used in population‐based cancer
studies to estimate the real impact on the excess mortality of covariates that influence overall …

In cancer epidemiology using population-based data, regression models for the excess
mortality hazard is a useful method to estimate cancer survival and to describe the …

Cancer survival comparisons between cohorts are often assessed by estimates of relative or
net survival. These measure the difference in mortality between those diagnosed with the …