Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study.
Stepped wedge cluster randomised trials
correlated data
degrees of freedom
generalised estimating equations
sandwich variance
small sample corrections
Journal
Statistical methods in medical research
ISSN: 1477-0334
Titre abrégé: Stat Methods Med Res
Pays: England
ID NLM: 9212457
Informations de publication
Date de publication:
02 2021
02 2021
Historique:
pubmed:
25
9
2020
medline:
3
8
2021
entrez:
24
9
2020
Statut:
ppublish
Résumé
Generalised estimating equations with the sandwich standard-error estimator provide a promising method of analysis for stepped wedge cluster randomised trials. However, they have inflated type-one error when used with a small number of clusters, which is common for stepped wedge cluster randomised trials. We present a large simulation study of binary outcomes 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
Identifiants
pubmed: 32970526
doi: 10.1177/0962280220958735
pmc: PMC8008420
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
425-439Subventions
Organisme : Medical Research Council
ID : MR/K012126/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R010161/1
Pays : United Kingdom
Organisme : Department of Health
ID : SRF-2017-10-002
Pays : United Kingdom
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