The past two decades have witnessed a surge of new research in the analysis of randomized experiments. The emergence of this literature may seem surprising given the widespread use and long history of experiments as the "gold standard" in program evaluation, but this body of work has revealed many subtle aspects of randomized experiments that may have been previously unappreciated. This article provides an overview of some of these topics, primarily focused on stratification, regression adjustment, and cluster randomization.

翻译：过去二十年中，随机实验分析方法的研究出现了显著增长。尽管实验作为项目评估的"黄金标准"已被广泛应用且历史悠久，这一文献的涌现仍可能令人惊讶，但该领域的工作揭示了许多此前未被充分认识的随机实验的微妙方面。本文概述了其中部分主题，主要聚焦于分层、回归调整和整群随机化。