Evidence map›Paper›PMID 32970526›Full record

ArticleStatistical methods in medical research2021

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

J A Thompson, K Hemming, A Forbes, K Fielding, R Hayes

Abstract read
In one paragraph

Article in Statistical methods in medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  14. Multilevel Intervention Stepped Wedge Designs (MLI-SWDs).Prevention science : the official journal of the Society for Prevention Research · 2024
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  19. Tuberculosis in Prisons: Importance of Considering the Clustering in the Analysis of Cross-Sectional Studies.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

J A ThompsonDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-3068-3952
K HemmingInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-2226-6550
A ForbesBiostatistics Unit, Monash University, Melbourne, Australia.
K FieldingDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
R HayesDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Funding

Department of Health SRF-2017-10-002Medical Research Council MR/K012126/1Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

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

Indexed as

Research DesignBiasCluster AnalysisComputer SimulationRandomized Controlled Trials as TopicSample Sizecorrelated datadegrees of freedomgeneralised estimating equationssandwich variancesmall sample correctionsStepped wedge cluster randomised trials

Identifiers

PMID32970526
PMCPMC8008420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.