Estimates of mean-discharge change over the Conterminous United States (CONUS) are routinely computed from the set of stream gauges that still report at both ends of the observation window — the "survivor" set. We ask whether non-random gauge attrition biases this estimator.
We revisit the "lenient-examiner-weaker-patent" channel using a Frakes-Wasserman-style leave-one-out within-art-unit examiner-leniency instrument on the 2020 USPTO PatEx-ECOPAIR application corpus (10,556,305 applications; 14,496 examiners meeting a ≥20-case floor) linked to the 2020 USPTO Patent Litigation Docket Reports dataset (96,965 cases; 49,773 unique litigated utility patents). After linkage and leave-one-out construction, 47,834 litigated patents remain.
Cross-sectional (CS) aging curves — plotting mean performance against age across all active players — are the dominant descriptive tool in baseball sabermetrics. They are known to be contaminated by selective retirement: weaker older players leave the population, so the surviving mean at older ages is higher than any individual player's expected performance at that age.
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.
Analyze 12,000 workers across 84 firms using commute distance as instrument for remote work eligibility. OLS: remote workers 12.