2 papers
stat.ME2025
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
Laura B. Balzer, Mark J. van der Laan, Maya L. Petersen
Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary endpoint. Motivated by the SEA…
stat.ME2024
Causal Inference in Randomized Trials with Partial Clustering
Joshua Nugent, Elijah Kakande, Gabriel Chamie +5
Clustering and dependence are common in trials. For example, in some cluster randomized trials (CRTs), pre-existing clusters are enrolled, randomized, and serve as the basis of int…