Covariates as Random Effects (CaRE): An approach to modeling high-dimensional confounding and effect heterogeneity
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Conventional single-level regression models estimate exposure-outcome associations by including covariates as main effects to account for potential confounding, but they rest on the additivity assumption-that each covariate contributes independently, without i... ...
