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, J

(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.

Alternative Title

jenniferthompson1/SW-CRT-GEE: Paper publication

Keywords

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

Item Type	Dataset
Capture method	Simulation, Other
Date	25 September 2020
Language(s) of written materials	English
Creator(s)	Thompson, J
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)
Research Centre	Centre for Evaluation Centre for Statistical Methodology International Statistics and Epidemiology Group
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingom, University of Birmingham, Birmingham, United Kingdom, Monash University, Monash, Australia
Funders	Project Funder Grant Number Funder URI Tell us about your project and faculty Funders Medical Research Council MR/R010161/1 http://dx.doi.org/10.13039/501100000265 Tell us about your project and faculty Funders Department for International Development, UK Government UNSPECIFIED http://dx.doi.org/10.13039/501100002992 Tell us about your project and faculty Funders European Commission UNSPECIFIED http://dx.doi.org/10.13039/501100000780
Date Deposited	25 Sep 2020 14:50
Last Modified	25 Sep 2020 15:08
Publisher	Zenodo