Cluster-level cross-fitting restores valid coverage for survey-weighted TMLE with flexible learners under stratified multistage designs, while single-fit and internal cross-validation versions under-cover.
A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure
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A semiparametric Bayesian framework with novel similarity-weighted Bayesian bootstrap for estimating natural direct and indirect effects in cluster randomized trials with limited clusters.
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Cross-Fitted Survey-Weighted TMLE with Design-Based Variance for Causal Machine Learning
Cluster-level cross-fitting restores valid coverage for survey-weighted TMLE with flexible learners under stratified multistage designs, while single-fit and internal cross-validation versions under-cover.
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Semiparametric Bayesian inference for causal mediation in cluster randomized trials
A semiparametric Bayesian framework with novel similarity-weighted Bayesian bootstrap for estimating natural direct and indirect effects in cluster randomized trials with limited clusters.
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