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stat.ME2026
Optimal Designs with Robust Inference for Binary Treatment Effects
David Azriel, Abba M. Krieger, Adam Kapelner
We study randomized experiments with binary outcomes under Neyman's nonparametric model, where covariate measurements are fixed but potential outcomes are random. In this setting w…
stat.ME2026
Principal Components Decomposition of Fraction of Variance Explained in High Dimensional Linear Models with Strong Correlation
Man Luo, Chun Chieh Fan, David Azriel +1
The fraction of variance explained (FVE) in a linear model quantifies the extent to which predictors account for outcome variability. In high-dimensional settings, where traditiona…