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20222026
most citedUsing leave-one-out cross-validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale

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stat.ME2026

When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence

Swen Kuh, Lauren Kennedy, Qixuan Chen +1

When estimating population prevalence from a non-random sample, it is important to adjust for differences between sample and population. However, adjustment for multiple factors re…