Estimating the prevalence of 26 health-related indicators at neighbourhood level in the Netherlands using structured additive regression.

van de Kassteele, Jan; Zwakhals, Laurens; Breugelmans, Oscar; Ameling, Caroline; van den Brink, Carolien

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Authors

van de Kassteele, Jan
Zwakhals, Laurens
Breugelmans, Oscar
Ameling, Caroline
van den Brink, Carolien

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Article

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Title

Estimating the prevalence of 26 health-related indicators at neighbourhood level in the Netherlands using structured additive regression.

Published in

Int J health Geogr 2017, 16(1):23

Publiekssamenvatting

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.