Imperial College London
Alternate

Professor Neil Ferguson

Faculty of Medicine, School of Public Health

Director of the School of Public Health
 
 
 
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Contact

 

+44 (0)20 7594 3296neil.ferguson Website

 
 
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Location

 

508School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Anders:2018:aje/kwy099,
author = {Anders, K and Cutcher, Z and Kleinschmidt, I and Donnelly, CA and Ferguson, NM and Indriani, C and O'Neill, SL and Jewell, NP and Simmons, CP},
doi = {aje/kwy099},
journal = {American Journal of Epidemiology},
pages = {2021--2028},
title = {Cluster randomized test-negative design (CR-TND) trials: a novel and efficient method to assess the efficacy of community level dengue interventions},
url = {http://dx.doi.org/10.1093/aje/kwy099},
volume = {187},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Cluster randomized trials are the gold standard for assessing efficacy of community-level interventions, such as vector control strategies against dengue. We describe a novel cluster randomized trial methodology with a test-negative design, which offers advantages over traditional approaches. It utilizes outcome-based sampling of patients presenting with a syndrome consistent with the disease of interest, who are subsequently classified as test-positive cases or test-negative controls on the basis of diagnostic testing. We use simulations of a cluster trial to demonstrate validity of efficacy estimates under the test-negative approach. This demonstrates that, provided study arms are balanced for both test-negative and test-positive illness at baseline and that other test-negative design assumptions are met, the efficacy estimates closely match true efficacy. We also briefly discuss analytical considerations for an odds ratio-based effect estimate arising from clustered data, and outline potential approaches to analysis. We conclude that application of the test-negative design to certain cluster randomized trials could increase their efficiency and ease of implementation.
AU  - Anders,K
AU  - Cutcher,Z
AU  - Kleinschmidt,I
AU  - Donnelly,CA
AU  - Ferguson,NM
AU  - Indriani,C
AU  - O'Neill,SL
AU  - Jewell,NP
AU  - Simmons,CP
DO  - aje/kwy099
EP  - 2028
PY  - 2018///
SN  - 1476-6256
SP  - 2021
TI  - Cluster randomized test-negative design (CR-TND) trials: a novel and efficient method to assess the efficacy of community level dengue interventions
T2  - American Journal of Epidemiology
UR  - http://dx.doi.org/10.1093/aje/kwy099
UR  - http://hdl.handle.net/10044/1/59322
VL  - 187
ER  -
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