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Subdata Selection for Measurement-Constrained Linear Regression under Model Misspecification
In many modern applications, obtaining response variables is costly, time-consuming, or technically challenging, making it impractical to measure outcomes for all available units. In such settings, covariates may be available for a large pool of candidates, but responses can only be collected for a
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