The design of experiments involves a compromise between covariate balance and
robustness. This article provides a formalization of this tradeoff and describes an …

Asymptotic properties of high-dimensional random forests Page 1 The Annals of Statistics
2022, Vol. 50, No. 6, 3415–3438 https://doi.org/10.1214/22-AOS2234 © Institute of …

Complete randomization balances covariates on average, but covariate imbalance often
exists in finite samples. Rerandomization can ensure covariate balance in the realized …

First, we provide additional finite-sample diagnosis tools for rerandomization, and conduct a
simulation study. Second, we extend the asymptotic theory to regression adjustment under …

Randomized experiments balance all covariates on average and are considered the gold
standard for estimating treatment effects. Chance imbalances are nonetheless common in …

Classical randomized experiments, equipped with randomization-based inference, provide
assumption-free inference for treatment effects. They have been the gold standard for …

Re-randomization has gained popularity as a tool for experiment-based causal inference
due to its superior covariate balance and statistical efficiency compared to classic …

The organisation of a design of experiments, for example, for the realisation of a clinical trial,
is crucial. It is often desirable to balance designs so that the means of the covariates are …

This chapter provides an overview of the econometric and statistical methods for drawing
inference on causal effects from randomized experiments under the potential outcome …

Rerandomization discards assignments with covariates unbalanced in the treatment and
control groups to improve estimation and inference efficiency. However, the acceptance …