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…