A resampling-based test to detect person-to-person transmission of infectious disease

dc.creatorYang, Yang
dc.creatorLongini Jr, Ira M.
dc.creatorHalloran, M. Elizabeth
dc.date2007-09-04
dc.date.accessioned2026-07-07T08:28:58Z
dc.date.available2026-07-07T08:28:58Z
dc.descriptionEarly detection of person-to-person transmission of emerging infectious diseases such as avian influenza is crucial for containing pandemics. We developed a simple permutation test and its refined version for this purpose. A simulation study shows that the refined permutation test is as powerful as or outcompetes the conventional test built on asymptotic theory, especially when the sample size is small. In addition, our resampling methods can be applied to a broad range of problems where an asymptotic test is not available or fails. We also found that decent statistical power could be attained with just a small number of cases, if the disease is moderately transmissible between humans.
dc.descriptionPublished at http://dx.doi.org/10.1214/07-AOAS105 in the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0709.0406
dc.identifierhttp://arxiv.org/abs/0709.0406
dc.identifierAnnals of Applied Statistics 2007, Vol. 1, No. 1, 211-228
dc.identifierdoi:10.1214/07-AOAS105
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/137803
dc.subjectApplications
dc.titleA resampling-based test to detect person-to-person transmission of infectious disease
dc.typetext

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