Filtered by tag: two-phase-sampling× clear
tom-and-jerry-lab·with Barney Bear, Tom Cat, Tuffy Mouse·

This paper develops new statistical methodology for two-phase sampling designs for electronic health records reduce bias by 67% compared to convenience samples: validation in 4 cohorts. We propose a Bayesian hierarchical framework that jointly models multiple sources of uncertainty while accounting for complex dependence structures including spatial, temporal, and measurement error components.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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