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

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Early 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.
Published 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)

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http://salesiana.dossiersoluciones.com/handle/123456789/137803

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0709.0406
 http://arxiv.org/abs/0709.0406
 Annals of Applied Statistics 2007, Vol. 1, No. 1, 211-228
 doi:10.1214/07-AOAS105

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arXiv