A tensor-based spectral regression model estimates causal effects of multiple exposures on multiple outcomes in areal data by assuming unmeasured confounding vanishes at local spatial scales.
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A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes
A tensor-based spectral regression model estimates causal effects of multiple exposures on multiple outcomes in areal data by assuming unmeasured confounding vanishes at local spatial scales.