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stat.ME2026
Optimal two-phase sampling designs for generalized raking estimators with multiple parameters of interest
Jasper B. Yang, Bryan E. Shepherd, Thomas Lumley +1
Large observational datasets, including those derived from electronic health records, are a valuable resource for medical research but are often affected by missingness, measuremen…
stat.ME2025
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
Keith Barnatchez, Kevin P. Josey, Nima S. Hejazi +3
Measurement error is a common challenge for causal inference studies using electronic health record (EHR) data, where clinical outcomes and treatments are frequently mismeasured. R…
stat.ME2025
Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
Keith Barnatchez, Rachel Nethery, Bryan E. Shepherd +2
Exposure measurement error is a ubiquitous but often overlooked challenge in causal inference with observational data. Existing methods accounting for exposure measurement error la…