11 citations · 22 across the 21 of their papers we have counts for
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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…
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…
Block Designs that Provide Optimal Power in the Cochran-Mantel-Haenszel Test
David Azriel, Adam Kapelner, Abba M. Krieger
We consider the asymptotic power performance under local alternatives of the Cochran-Mantel-Haenszel test. Our setting is non-traditional: we investigate randomized experiments tha…
The Pairwise Matching Design is Optimal under Extreme Noise and Assignments
David Azriel, Abba M. Krieger, Adam Kapelner
We consider the general performance of the difference-in-means estimator in an equally-allocated two-arm randomized experiment under common experimental endpoints such as continuou…
The Role of Pairwise Matching in Experimental Design for an Incidence Outcome
Adam Kapelner, Abba M. Krieger, David Azriel
We consider the problem of evaluating designs for a two-arm randomized experiment with an incidence (binary) outcome under a nonparametric general response model. Our two main resu…
Better Experimental Design by Hybridizing Binary Matching with Imbalance Optimization
Abba M. Krieger, David Azriel, Adam Kapelner
We present a new experimental design procedure that divides a set of experimental units into two groups in order to minimize error in estimating an additive treatment effect. One c…