Randomization-based inference for a marginal treatment effect in stepped wedge cluster randomized trials

DOI10.1002/sim.9040zbMATH Open1546.62613MaRDI QIDQ6628479

Dustin J. Rabideau, Rui Wang

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

confidence intervalpermutation testrandomization-based inferencestratified randomizationstepped wedge cluster randomized trial

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
• Permutation methods: a basis for exact inference
• Randomization inference for stepped-wedge cluster-randomized trials: an application to community-based health insurance
• Modified Randomization Tests for Nonparametric Hypotheses
• Randomization in Clinical Trials
• Confidence Intervals from Randomization Tests
• A Note on the Efficiency of Sandwich Covariance Matrix Estimation
• Approximate Inference in Generalized Linear Mixed Models
• Robust inference for the stepped wedge design
• Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters
• Testing Statistical Hypotheses
• Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure
• Novel methods for the analysis of stepped wedge cluster randomized trials

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