Author

L. Brestrich

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Preprint Jul 2026

Comparing Missing Data Methods for Estimating Average Treatment Effects Under Time-Varying Confounding: A Simulation Study

Missing data and confounding are common in real-world statistical applications, yet few studies have examined how imputation methods perform under time-varying confounding in binary variables, or how missingness mechanism, missing rate, missingness location and sample size jointly affect performance and the underlying...

B. Swallow, L. Brestrich, Victor Velasco-Pardo · 0 citations