Semiparametric efficiency and nearly-true models
Read OriginalThis technical article discusses statistical efficiency in two-phase sampling, where additional variables are measured on a subset of a larger cohort. It compares two semiparametric models (Model D and Model M) for estimation, focusing on scenarios where the parametric model is 'nearly true' but slightly misspecified. It explores the trade-offs between bias and precision using concepts like contiguity and references estimators like AIPW and unweighted logistic regression.
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