Estimating the prevalence of 26 health-related indicators at neighbourhood level in the Netherlands using structured additive regression.
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Type
Article
Language
en
Date
2017-07-01
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Title
Estimating the prevalence of 26 health-related indicators at neighbourhood level in the Netherlands using structured additive regression.
Translated Title
Published in
Int J health Geogr 2017, 16(1):23
Abstract
Local policy makers increasingly need information on health-related indicators at smaller geographic levels like districts or neighbourhoods. Although more large data sources have become available, direct estimates of the prevalence of a health-related indicator cannot be produced for neighbourhoods for which only small samples or no samples are available. Small area estimation provides a solution, but unit-level models for binary-valued outcomes that can handle both non-linear effects of the predictors and spatially correlated random effects in a unified framework are rarely encountered.