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 assumption 、 Disease cluster 、 Medical physics 、 Randomized controlled trial 、 Psychological intervention 、 Cluster randomised controlled trial 、 Odds ratio 、 Computer science 、 Gold 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.