Neighborhood effect averaging problem

The neighborhood effect averaging problem (NEAP) is a source of statistical bias that can significantly impact the results of statistical hypothesis tests. It is caused by the influence of aggregating neighborhood-level phenomena on individuals when mobility-dependent exposures influence the phenomena.

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