Residual spatial correlation between geographically referenced observations: a Bayesian hierarchical modeling approach.

@article{Boyd2005ResidualSC,
  title={Residual spatial correlation between geographically referenced observations: a Bayesian hierarchical modeling approach.},
  author={Heather A Boyd and W. Dana Flanders and David G Addiss and Lance A. Waller},
  journal={Epidemiology},
  year={2005},
  volume={16 4},
  pages={532-41}
}
BACKGROUND Analytic methods commonly used in epidemiology do not account for spatial correlation between observations. In regression analyses, this omission can bias parameter estimates and yield incorrect standard error estimates. We present a Bayesian hierarchical model (BHM) approach that accounts for spatial correlation, and illustrate its strengths and weaknesses by applying this modeling approach to data on Wuchereria bancrofti infection in Haiti. METHODS A program to eliminate… CONTINUE READING

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