Estimating micro area behavioural risk factor prevalence from large population-based surveys: a full Bayesian approach

Estimating micro area behavioural risk factor prevalence from large population-based surveys: a full Bayesian approach

Abstract Background An important public health goal is to decrease the prevalence of key behavioural risk factors, such as tobacco use and obesity. Survey information is often available at the regional level, but heterogeneity within large geographic regions cannot be assessed. Advanced spatial anal...

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Bibliographic Details
Main Authors: L. Seliske, T. A. Norwood, J. R. McLaughlin, S. Wang, C. Palleschi, E. Holowaty
Format: Article
Language:English
Published: BMC 2016-06-01
Series:BMC Public Health
Subjects:
Spatial epidemiology
Bayesian methods, Micro area analysis
Behavioural risk factors
Online Access:http://link.springer.com/article/10.1186/s12889-016-3144-4

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http://link.springer.com/article/10.1186/s12889-016-3144-4

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