Cluster-Randomized Test-Negative Design Trials: A Novel and Efficient Method to Assess the Efficacy of Community-Level Dengue Interventions.

作者: Katherine L Anders , Zoe Cutcher , Immo Kleinschmidt , Christl A Donnelly , Neil M Ferguson

DOI: 10.1093/AJE/KWY099

关键词: Rare disease assumptionDisease clusterMedical physicsRandomized controlled trialPsychological interventionCluster randomised controlled trialOdds ratioComputer scienceGold standard (test)Research design

摘要: Cluster-randomized controlled 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 test-negative design (CR-TND), which offers advantages over traditional approaches. This method uses outcome-based sampling patients presenting syndrome consistent disease interest, who subsequently classified test-positive cases or controls on basis diagnostic testing. used simulations cluster to demonstrate validity estimates under approach. demonstrated that, provided study arms balanced both and illness at baseline that other assumptions met, closely match true efficacy. Analytical considerations an odds ratio-based effect estimate arising from clustered data potential approaches analysis also discussed briefly. concluded application certain could increase their efficiency ease implementation.

参考文章(46)
Richard J. Hayes, Lawrence H. Moulton, Cluster randomised trials ,(2009)
Paul R. Rosenbaum, J. Angrist, G. Imbens, Jennifer Hill, James M. Robins, Paul R. Rosenbaum, Covariance Adjustment in Randomized Experiments and Observational Studies Statistical Science. ,vol. 17, pp. 286- 327 ,(2002) , 10.1214/SS/1042727942
Anne L. Wilson, Marleen Boelaert, Immo Kleinschmidt, Margaret Pinder, Thomas W. Scott, Lucy S. Tusting, Steve W. Lindsay, Evidence-based vector control? Improving the quality of vector control trials Trends in Parasitology. ,vol. 31, pp. 380- 390 ,(2015) , 10.1016/J.PT.2015.04.015
Dylan S Small, Thomas R Ten Have, Paul R Rosenbaum, Randomization Inference in a Group–Randomized Trial of Treatments for Depression: Covariate Adjustment, Noncompliance, and Quantile Effects Journal of the American Statistical Association. ,vol. 103, pp. 271- 279 ,(2008) , 10.1198/016214507000000897
V. Wünsch Filho, E. A. De Castilho, L. C. Rodrigues, S. R. A. Huttly, Effectiveness of BCG vaccination against tuberculous meningitis: a case-control study in São Paulo, Brazil. Bulletin of The World Health Organization. ,vol. 68, pp. 69- 74 ,(1990)
SANDER GREENLAND, DUNCAN C. THOMAS, On the need for the rare disease assumption in case-control studies. American Journal of Epidemiology. ,vol. 116, pp. 547- 553 ,(1982) , 10.1093/OXFORDJOURNALS.AJE.A113439
Michael L. Jackson, Jennifer C. Nelson, The test-negative design for estimating influenza vaccine effectiveness. Vaccine. ,vol. 31, pp. 2165- 2168 ,(2013) , 10.1016/J.VACCINE.2013.02.053
T. Walker, P. H. Johnson, L. A. Moreira, I. Iturbe-Ormaetxe, F. D. Frentiu, C. J. McMeniman, Y. S. Leong, Y. Dong, J. Axford, P. Kriesner, A. L. Lloyd, S. A. Ritchie, S. L. O’Neill, A. A. Hoffmann, The wMel Wolbachia strain blocks dengue and invades caged Aedes aegypti populations. Nature. ,vol. 476, pp. 450- 453 ,(2011) , 10.1038/NATURE10355
Ivo M. Foppa, Michael Haber, Jill M. Ferdinands, David K. Shay, The case test-negative design for studies of the effectiveness of influenza vaccine. Vaccine. ,vol. 31, pp. 3104- 3109 ,(2013) , 10.1016/J.VACCINE.2013.04.026