Spatial smoothing models to deal with the complex sampling design and nonresponse in the Florida BRFSS survey.

ABSTRACT: Public health and governmental organizations have acknowledged the importance of obtaining information of various characteristics for small areas, such as counties. Spatial smoothing models have been developed to gain reliable information on the geographical distribution of the outcome of interest. When the geographical analysis is based on survey data, two issues pose challenges: (1) the complex design of the survey and (2) the presence of missing data due to non-response. We investigate the influence of missing data and the adjustment thereof in the context of the 2013 Florida Behavioral Risk Factor Surveillance System (BRFSS) health survey. We focus on the application and comparison of the Hajek ratio estimator and two model-based approaches for estimation of the spatial trend of the pr

SUBMITTER: Watjou K 

PROVIDER: S-EPMC6540817 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature