11 citations · 22 across the 21 of their papers we have counts for
11 papers · 1 filter
Consistency of heritability estimation from summary statistics in high-dimensional linear models
David Azriel, Samuel Davenport, Armin Schwartzman
In Genome-Wide Association Studies (GWAS), heritability is defined as the fraction of variance of an outcome explained by a large number of genetic predictors in a high-dimensional…
The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response
David Azriel, Abba M. Krieger, Adam Kapelner
We consider the performance of the difference-in-means estimator in a two-arm randomized experiment under common experimental endpoints such as continuous (regression), incidence,…
A zero-estimator approach for estimating the signal level in a high-dimensional model-free setting
Ilan Livne, David Azriel, Yair Goldberg
We study a high-dimensional regression setting under the assumption of known covariate distribution. We aim at estimating the amount of explained variation in the response by the b…
Optimal minimax random designs for weighted least squares estimators
David Azriel
This work studies an experimental design problem where {the values of a predictor variable, denoted by }, are to be determined with the goal of estimating a function , whi…
Improved Estimators for Semi-supervised High-dimensional Regression Model
Ilan Livne, David Azriel, Yair Goldberg
We study a linear high-dimensional regression model in a semi-supervised setting, where for many observations only the vector of covariates is given with no response . We do…
Optimal designs for the development of personalized treatment rules
David Azriel, Yosef Rinott, Martin Posch
We study the design of multi-armed parallel group clinical trials to estimate personalized treatment rules that identify the best treatment for a given patient with given covariate…