Detecting survival effects of socioeconomic status : problems in the use of aggregate measures.
Direct measures of SES are seldom included in medical records or large databases on disease incidence or survival, forcing researchers to infer the SES characteristics of individuals from aggregate data (e.g. census tract-level income, education, etc.). This paper assesses the degree of error that results from such inference and the impact this error may have on reported relationships between SES and survival.
The authors obtained both individual and census tract-level data on 536 persons diagnosed with cancer between 1980 and 1982 and monitored their survival through 1992.
Pearson correlations between individual-level and census tract-level SES variables ranged between 0.2 and 0.4.
Mots-clés Pascal : Statut socioéconomique, Survie, Erreur mesure, Méthodologie, Tumeur, Homme, Epidémiologie
Mots-clés Pascal anglais : Socioeconomic status, Survival, Measurement error, Methodology, Tumor, Human, Epidemiology
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 94-0633265
Code Inist : 002B30A01A1. Création : 09/06/1995.