Combining individual and aggregated data to investigate the role of socioeconomic disparities on cancer burden in Italy.

Abstract:

:Quantifying socioeconomic disparities and understanding the roots of inequalities are growing topics in cancer research. However, socioeconomic differences are challenging to investigate mainly due to the lack of accurate data at individual-level, while aggregate indicators are only partially informative. We implemented a multiple imputation algorithm within a statistical matching framework that combines diverse sources of data to estimate individual-level associations between income and risk of breast and lung cancer, adjusting for potential confounding factors in Italy. The framework is computationally flexible and can be adapted to similar contexts.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Mezzetti M,Palli D,Dominici F

doi

10.1002/sim.8392

subject

Has Abstract

pub_date

2020-01-15 00:00:00

pages

26-44

issue

1

eissn

0277-6715

issn

1097-0258

journal_volume

39

pub_type

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