van de Kassteele, JanZwakhals, LaurensBreugelmans, OscarAmeling, Carolinevan den Brink, Carolien2018-01-032018-01-032017-07-01Estimating the prevalence of 26 health-related indicators at neighbourhood level in the Netherlands using structured additive regression. 2017, 16 (1):23 Int J Health Geogr1476-072X2866644610.1186/s12942-017-0097-5http://hdl.handle.net/10029/620980Local 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.enArchived with thanks to International journal of health geographicsArticleInt J health Geogr 2017, 16(1):23