The Annals of Applied Statistics

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

Yang Yang, Ira M. Longini, and M. Elizabeth Halloran

Full-text: Open access

Abstract

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.

Article information

Source
Ann. Appl. Stat. Volume 1, Number 1 (2007), 211-228.

Dates
First available in Project Euclid: 29 June 2007

Permanent link to this document
http://projecteuclid.org/euclid.aoas/1183143736

Digital Object Identifier
doi:10.1214/07-AOAS105

Mathematical Reviews number (MathSciNet)
MR2393848

Zentralblatt MATH identifier
1129.62110

Citation

Yang, Yang; Longini, Ira M.; Halloran, M. Elizabeth. A resampling-based test to detect person-to-person transmission of infectious disease. Ann. Appl. Stat. 1 (2007), no. 1, 211--228. doi:10.1214/07-AOAS105. http://projecteuclid.org/euclid.aoas/1183143736.


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