3 papers
stat.ME2026
Calibration without labels in multiple testing
Adway S. Wadekar, Jake A. Soloff
Large-scale hypothesis testing supports probability claims about individual hypotheses, as in empirical Bayes methods for estimating local false discovery rates. We study how such…
stat.ME2025
A Sensitivity Analysis Framework for Quantifying Confidence in Decisions in the Presence of Data Uncertainty
Adway S. Wadekar, Jerome P. Reiter
Nearly all statistical analyses that inform policy-making are based on imperfect data. As examples, the data may suffer from measurement errors, missing values, sample selection bi…
stat.ME2023
Evaluating Binary Outcome Classifiers Estimated from Survey Data
Adway S. Wadekar, Jerome P. Reiter
Surveys are commonly used to facilitate research in epidemiology, health, and the social and behavioral sciences. Often, these surveys are not simple random samples, and respondent…