In survival analysis we are interested in time from the beginning of an observation until
certain event (death, relapse, etc.). We assume that the final event is well defined, so that we …

Relative survival techniques are used to compare the survival experience in a study cohort
with the one expected should they follow the background population mortality rates. The …

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 …

Relative survival methods are crucial with data in which the cause of death information is
either not given or inaccurate, but cause-specific information is nevertheless required. This …

Relative survival techniques are used to compare survival experience in a study cohort with
that expected if background population rates apply. The techniques are especially useful …

Because of the expanding interest in cancer patient outcome studies, knowledge of the
various methods to express survival is essential for analysis and for understanding the …

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 …

Survival analysis is a comprehensive set of statistical methods for analysis of data with
incomplete observation of the main outcome variable, which is a time to occurrence of some …

When estimating patient survival using data collected by population-based cancer registries,
it is common to estimate net survival in a relative-survival framework. Net survival can be …

Survival data stand out as a special statistical field. This paper tries to describe what survival
data is and what makes it so special. Survival data concern times to some events. A key …