Kori Khan - Colloquium Speaker

Assistant Professor, Department of Statistics, Iowa State University
Thursday, March 31, 2022 - 3:15pm
Colloquium Title: 
Re-thinking Spatial Confounding in Spatial Linear Mixed Models


Historically, when residuals in linear regression models were spatially correlated, it was common practice to include a spatial random effect. Recently, research into a phenomenon known as spatial confounding has challenged this practice. Spatial confounding is often described as occurring when there is multicollinearity between a spatially smooth covariate and a spatial random effect. It is thought to lead to poor associational and causal inferential outcomes, and research into methods to mitigate it is ongoing. In this talk, we explore how at least two distinct phenomena have become conflated with the term spatial confounding. Within the class of spatial linear mixed models, we show how multicollinearity can arise either in a data generation setting or a model fitting setting. While both issues are referred to as spatial confounding, we use illustrative examples to show they can differentially impact inference.


Topic: Colloquia -- Department of Statistics and Actuarial Science, The University of Iowa
Time: Mar 31, 2022 03:15 PM Central Time (US and Canada)

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