Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation
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Publication:6091683
DOI10.1002/bimj.202000230zbMath1523.62149OpenAlexW3135510422MaRDI QIDQ6091683
Publication date: 27 November 2023
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132617
Poisson distributiongeneralized estimating equationscoefficient of variationgroup-randomized trialsunequal cluster sizesarm-specific exchangeable correlation
Cites Work
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- A Covariance Estimator for GEE with Improved Small‐Sample Properties
- Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
- Sample Size Estimation in Cluster Randomized Studies with Varying Cluster Size
- Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- Relative efficiency of unequal versus equal cluster sizes in cluster randomized trials using generalized estimating equation models
- Approximate Inference in Generalized Linear Mixed Models
- Blinded and unblinded sample size reestimation procedures for stepped‐wedge cluster randomized trials
- Sample size calculation for count outcomes in cluster randomization trials with varying cluster sizes
- Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters
- Equivalence of conditional and marginal regression models for clustered and longitudinal data
- Comparison of subject-specific and population averaged models for count data from cluster-unit intervention trials
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