Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
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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. However, these weights can be highly variable, leading to unstable weighted anal... ...
