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Influence of Demographic and Health Survey Point Displacements on Distance-Based Analyses.


ABSTRACT: We evaluate the impacts of random spatial displacements on analyses that involve distance measures from displaced Demographic and Health Survey (DHS) clusters to nearest ancillary point or line features, such as health resources or roads. We use simulation and case studies to address the effects of this introduced error, and propose use of regression calibration (RC) to reduce its impact. Results suggest that RC outperforms analyses involving naive distance-based covariate assignments by reducing the bias and MSE of the main estimator in most settings. Proposed guidelines also address the effect of the spatial density of destination features on observed bias.

SUBMITTER: Warren JL 

PROVIDER: S-EPMC4946438 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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Influence of Demographic and Health Survey Point Displacements on Distance-Based Analyses.

Warren Joshua L JL   Perez-Heydrich Carolina C   Burgert Clara R CR   Emch Michael E ME  

Spatial demography 20150623 2


We evaluate the impacts of random spatial displacements on analyses that involve distance measures from displaced Demographic and Health Survey (DHS) clusters to nearest ancillary point or line features, such as health resources or roads. We use simulation and case studies to address the effects of this introduced error, and propose use of regression calibration (RC) to reduce its impact. Results suggest that RC outperforms analyses involving naive distance-based covariate assignments by reducin  ...[more]

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