Automated real time constant-specificity surveillance for disease outbreaks-0

Copyright information:Taken from "Automated real time constant-specificity surveillance for disease outbreaks"http://www.biomedcentral.com/1472-6947/7/15BMC Medical Informatics and Decision Making 2007;7():15-15.Published online 13 Jun 2007PMCID:PMC1919360.ve comparison models over a range...

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Hauptverfasser: Wieland, Shannon C, Brownstein, John S, Berger, Bonnie, Mandl, Kenneth D
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Sprache:eng
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Zusammenfassung:Copyright information:Taken from "Automated real time constant-specificity surveillance for disease outbreaks"http://www.biomedcentral.com/1472-6947/7/15BMC Medical Informatics and Decision Making 2007;7():15-15.Published online 13 Jun 2007PMCID:PMC1919360.ve comparison models over a range of mean specificity values from 0.50 to 0.99, as well as -values for the expectation-variance model. Top: calendar year of study. Middle: month of year. Bottom: day of week. The expectation-variance model has a -value over 0.05 for the entire range of mean specificity values for all three timescales, so the null hypothesis of constant specificity is not rejected. All plots not shown are highly significant (< 0.001) for non-constancy.
DOI:10.6084/m9.figshare.58847