A Bayesian machine learning approach to direct and spillover effects in cluster-randomized trials with noncompliance
arXiv:2610.27425v1 Announce Type: cross Abstract: We develop a Bayesian machine learning approach for estimating direct and spillover effects in cluster-randomized trials with treatment noncompliance. To flexibly model outcomes and treatment receipt while accounting for within-cluster dependence, w…
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- 2026-10-21 04:00 · arXiv stat.ML
A Bayesian machine learning approach to direct and spillover effects in cluster-randomized trials with noncompliance