Power calculation for analyses of cross-sectional stepped-wedge cluster randomized trials with binary outcomes via generalized estimating equations
From MaRDI portal
Publication:6628208
DOI10.1002/sim.9205zbMATH Open1546.62302MaRDI QIDQ6628208
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- 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
- Correlated Binary Regression with Covariates Specific to Each Binary Observation
- Efficiency of Regression Estimates for Clustered Data
- Sample Size and Power Calculations for Periodontal and Other Studies with Clustered Samples Using the Method of Generalized Estimating Equations
- A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- Power calculation for cross‐sectional stepped wedge cluster randomized trials with variable cluster sizes
- Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment
- Maintaining the validity of inference in small-sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations
- Information content of stepped wedge designs with unequal cluster-period sizes in linear mixed models: informing incomplete designs
Related Items (2)
Multiply robust generalized estimating equations for cluster randomized trials with missing outcomes ⋮ Bayesian optimal stepped wedge design
This page was built for publication: Power calculation for analyses of cross-sectional stepped-wedge cluster randomized trials with binary outcomes via generalized estimating equations