2 papers
stat.ME2026
Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
Xinru Wang, Anyu Zhu, Lauren Kennedy +2
The two-phase sampling design is a cost-effective strategy widely used in public health research. Analyzing the Phase II sample often involves creating subsample-specific weights.…
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…