2 papers
stat.ME2026
A General Framework for Design-Based Treatment Effect Estimation in Paired Cluster-Randomized Experiments
Charlotte Z. Mann, Adam C. Sales, Johann A. Gagnon-Bartsch
Paired cluster-randomized experiments (pCRTs) are common in education program impact evaluation trials. Although common, there is surprisingly no clear consensus regarding how to a…
stat.AP2026
Leveraging Large Language Models to Improve Precision in Randomized Controlled Trials
Jaylin Lowe, Adam Sales, Johann A. Gagnon-Bartsch
Large language models (LLMs) are increasingly used in statistical research and applications. However,they are also notorious for unreliable or biased information. Here, we explore…