On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables.

ABSTRACT: 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 association between prognosis factors and excess mortality. This method requires expected mortality rates from general population life tables: each cancer patient is assigned an expected (background) mortality rate obtained from the life tables, typically at least according to their age and sex, from the population they belong to. However, those life tables may be insufficiently stratified, as some characteristics such as deprivation, ethnicity, and comorbidities, are not available in the life tables for a number of countries. This may affect the background mortality rate allocated to each patient, and it has been shown tha

SUBMITTER: Rubio FJ 

PROVIDER: S-EPMC7846106 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature