The meaning of randomization tests has become obscure in statistics education and practice
over the last century. This article makes a fresh attempt at rectifying this core concept of …

Switchback experiments, where a firm sequentially exposes an experimental unit to random
treatments, are among the most prevalent designs used in the technology sector, with …

Network experiments have been widely used in investigating interference among units.
Under the``approximate neighborhood interference" framework introduced by\cite …

Estimating causal effects has become an integral part of most applied fields. Solving these
modern causal questions requires tackling violations of many classical causal assumptions …

In the past decade, the technology industry has adopted online controlled experiments (aka
A/B testing) to guide business decisions. In practice, A/B tests are often implemented with …

Precision medicine describes health care where patient‐level data are used to inform
treatment decisions. Within this framework, dynamic treatment regimes (DTRs) are …

Measuring the effect of peers on individuals' outcomes is a challenging problem, in part
because individuals often select peers who are similar in both observable and unobservable …

Abstract In New York City, neighbourhood policing was adopted at the police precinct level
over the years 2015–2018, and it is of interest to both (1) evaluate the impact of the policy …

We set up a framework to conduct experiments for estimating spillover effects when units are
grouped into mutually exclusive clusters. We improve upon existing methods by allowing for …

This study considers testing the specification of spillover effects in causal inference. We
focus on experimental settings in which the treatment assignment mechanism is known to …