Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study

Thompson, JORCID logo (2020). Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study. [Dataset]. Zenodo. https://zenodo.org/10.5281/zenodo.4049828
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R code for a large simulation study of binary outcomes in stepped wedge cluster randomised trials comparing bias-corrected standard errors from Fay and Graubard; Mancl and DeRouen; Kauermann and Carroll; Morel, Bokossa, and Neerchal; and Mackinnon and White with an independent and exchangeable working correlation matrix. We constructed 95% confidence intervals using a t-distribution with degrees of freedom including clusters minus parameters (DFC-P), cluster periods minus parameters, and estimators from Fay and Graubard (DFFG), and Pan and Wall.

Keywords

Stepped wedge trials, Cluster randomised trials, Generalised estimating equations, Small sample correction, Simulation study, Correlated data

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