Abstract

The use of these new socio-economic life tables (County SES-LT) can provide more accurate estimates of relative survival, improve comparisons of relative survival among registries, better illustrate disparities and cancer control efforts, and should be used as default for cancer relative survival using U.S. data.

Keywords

Life expectancyDemographyPoisson regressionRelative survivalGerontologyPopulationPacific islandersEthnic groupSocioeconomic statusEpidemiologyRelative riskMedicineGeographyConfidence intervalCancer registrySociology

MeSH Terms

AgedFemaleGeographyHumansLife ExpectancyMaleModelsStatisticalNeoplasmsRacial GroupsSocial ClassSurvival AnalysisUnited States

Affiliated Institutions

Related Publications

Publication Info

Year
2018
Type
article
Volume
13
Issue
7
Pages
e0201034-e0201034
Citations
67
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

67
OpenAlex
3
Influential
59
CrossRef

Cite This

Angela B. Mariotto, Zhaohui Zou, Christopher J. Johnson et al. (2018). Geographical, racial and socio-economic variation in life expectancy in the US and their impact on cancer relative survival. PLoS ONE , 13 (7) , e0201034-e0201034. https://doi.org/10.1371/journal.pone.0201034

Identifiers

DOI
10.1371/journal.pone.0201034
PMID
30044829
PMCID
PMC6059474

Data Quality

Data completeness: 86%