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Decomposing socioeconomic inequality for binary health outcomes: an improved estimation that does not vary by choice of reference group

Yiengprugsawan, Vasoontara; Lim, Lynette LY; Carmichael, Gordon A; Dear, Keith BG; Sleigh, Adrian C


BACKGROUND Decomposition of concentration indices yields useful information regarding the relative importance of various determinants of inequitable health outcomes. But the two estimation approaches to decomposition in current use are not suitable for binary outcomes. FINDINGS The paper compares three estimation approaches for decomposition of inequality concentration indices: Ordinary Least Squares (OLS), probit, and the Generalized Linear Model (GLM) binomial distribution and identity link....[Show more]

CollectionsANU Research Publications
Date published: 2010-03-04
Type: Journal article
Source: BMC Research Notes
DOI: 10.1186/1756-0500-3-57


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