Relative survival methods permit separating the effects of prognostic factors on disease‐
related 'excess mortality'from their effects on other‐causes 'natural mortality', even when …

Relative survival is used to estimate patient survival excluding causes of death not related to
the disease of interest. Rather than using cause of death information from death certificates …

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 …

In oncology, the international WHO and RECIST criteria have allowed the standardization of
tumor response evaluation in order to identify the time of disease progression. These semi …

In chronic diseases, such as cancer, recurrent events (such as relapses) are commonly
observed; these could be interrupted by death. With such data, a joint analysis of recurrence …

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 …

Among the surrogate endpoints for overall survival (OS) in oncology trials, progression‐free
survival (PFS) is more and more taking the leading role. Although there have been some …

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 …

Hazard regression models and cure rate models can be advantageously used in cancer
relative survival analysis. We explored the advantages and limits of these two models in …

In order to yield more flexible models, the Cox regression model, λ (t; x)= λ0 (t) exp (βx), has
been generalized using different non‐parametric model estimation techniques. One …