A unified mixed-effects machine learning framework estimates conditional average treatment effects in cluster-randomized trials by incorporating individual- and cluster-level covariates.
re") . If FALSE, attempts mgcv::gamm() first; if gamm() fails, falls back to mgcv::gam() with s(cluster, bs=
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Leveraging machine learning to estimate individualized treatment effects in cluster-randomized trials
A unified mixed-effects machine learning framework estimates conditional average treatment effects in cluster-randomized trials by incorporating individual- and cluster-level covariates.