Four approaches to estimating a regression model for relative survival using the method of
maximum likelihood are described and compared. The underlying model is an additive …

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 provides a measure of the proportion of patients dying from the disease
under study without requiring the knowledge of the cause of death. We propose an overall …

A useful summary measure for survival data is the expectation of life, which is calculated by
obtaining the area under a survival curve. The loss in expectation of life due to a certain type …

A model is presented for the analysis of lifetime data in which the rates of mortality for
separate groups of patients converge with time. A non‐parametric estimate is given for the …

Survival from cancer or other chronic diseases is often measured using the relative survival
rate. This, in turn, is defined as the ratio of the observed survival rate in the patient group …

The goal of relative survival methodology is to compare the survival experience of a cohort
with that of the background population. Most often an additive excess hazard model is …

Estimation of relative survival has become the first and the most basic step when reporting
cancer survival statistics. Standard estimators are in routine use by all cancer registries …

The relative survival rate is the ratio of the overall survival rate to that'expected'for
demographically similar individuals in a reference population. It is commonly used to …

Relative survival, a method for assessing prognostic factors for disease‐specific mortality in
unselected populations, is frequently used in population‐based studies. However, most …