Missing in space: an evaluation of imputation methods for missing data in spatial analysis of risk factors for type II diabetes

BACKGROUND: Spatial analysis is increasingly important for identifying modifiable geographic risk factors for disease. However, spatial health data from surveys are often incomplete, ranging from missing data for only a few variables, to missing data for many variables. For spatial analyses of healt...

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Detalles Bibliográficos
Autores principales: Baker, Jannah, White, Nicole, Mengersen, Kerrie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287494/
https://www.ncbi.nlm.nih.gov/pubmed/25410053
http://dx.doi.org/10.1186/1476-072X-13-47

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287494/
https://www.ncbi.nlm.nih.gov/pubmed/25410053
http://dx.doi.org/10.1186/1476-072X-13-47

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