Search Results

There are 1161039 results for: content related to: Comments on ‘Some methodological issues in biosurveillance’

  1. Some methodological issues in biosurveillance

    Statistics in Medicine

    Volume 30, Issue 5, 28 February 2011, Pages: 403–415, Ronald D. Fricker Jr

    Article first published online : 10 FEB 2011, DOI: 10.1002/sim.3880

  2. Automated time series forecasting for biosurveillance

    Statistics in Medicine

    Volume 26, Issue 22, 30 September 2007, Pages: 4202–4218, Howard S. Burkom, Sean Patrick Murphy and Galit Shmueli

    Article first published online : 5 MAR 2007, DOI: 10.1002/sim.2835

  3. Syndromic surveillance systems

    Annual Review of Information Science and Technology

    Volume 42, Issue 1, 2008, Pages: 425–495, Ping Yan, Hsinchun Chen and Daniel Zeng

    Article first published online : 5 NOV 2009, DOI: 10.1002/aris.2008.1440420117

  4. Rejoinder: Some methodological issues in biosurveillance

    Statistics in Medicine

    Volume 30, Issue 5, 28 February 2011, Pages: 434–441, Ronald D. Fricker Jr

    Article first published online : 4 FEB 2011, DOI: 10.1002/sim.3982

  5. Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs

    Statistics in Medicine

    Volume 26, Issue 8, 15 April 2007, Pages: 1834–1856, Henry Rolka, Howard Burkom, Gregory F. Cooper, Martin Kulldorff, David Madigan and Weng-Keen Wong

    Article first published online : 15 JAN 2007, DOI: 10.1002/sim.2793

  6. Reducing false alarms in syndromic surveillance

    Statistics in Medicine

    Volume 30, Issue 14, 30 June 2011, Pages: 1665–1677, William Peter, Amir H. Najmi and Howard S. Burkom

    Article first published online : 22 MAR 2011, DOI: 10.1002/sim.4204

  7. Biosurveillance: Detecting, Tracking, and Mitigating The Effects of Natural Disease and Bioterrorism

    Standard Article

    Wiley Encyclopedia of Operations Research and Management Science

    Ronald D. Fricker

    Published Online : 15 FEB 2011, DOI: 10.1002/9780470400531.eorms1029

  8. Comparing syndromic surveillance detection methods: EARS' versus a CUSUM-based methodology

    Statistics in Medicine

    Volume 27, Issue 17, 30 July 2008, Pages: 3407–3429, Ronald D. Fricker Jr, Benjamin L. Hegler and David A. Dunfee

    Article first published online : 31 JAN 2008, DOI: 10.1002/sim.3197

  9. Comments on ‘Some methodological issues in biosurveillance’

    Statistics in Medicine

    Volume 30, Issue 5, 28 February 2011, Pages: 420–422, D. L. Buckeridge

    Article first published online : 10 FEB 2011, DOI: 10.1002/sim.3925

  10. The Bayesian aerosol release detector: An algorithm for detecting and characterizing outbreaks caused by an atmospheric release of Bacillus anthracis

    Statistics in Medicine

    Volume 26, Issue 29, 20 December 2007, Pages: 5225–5252, William R. Hogan, Gregory F. Cooper, Garrick L. Wallstrom, Michael M. Wagner and Jean-Marc Depinay

    Article first published online : 22 OCT 2007, DOI: 10.1002/sim.3093

  11. Bayesian methodology for the analysis of spatial–temporal surveillance data

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 5, Issue 3, June 2012, Pages: 194–204, Jian Zou, Alan F. Karr, David Banks, Matthew J. Heaton, Gauri Datta, James Lynch and Francisco Vera

    Article first published online : 24 JAN 2012, DOI: 10.1002/sam.10142

  12. Development and evaluation of a data-adaptive alerting algorithm for univariate temporal biosurveillance data

    Statistics in Medicine

    Volume 28, Issue 26, 20 November 2009, Pages: 3226–3248, Yevgeniy Elbert and Howard S. Burkom

    Article first published online : 1 SEP 2009, DOI: 10.1002/sim.3708

  13. Data Sources for Biosurveillance

    Standard Article

    Wiley Handbook of Science and Technology for Homeland Security

    Ronald A. Walters, Pete A. Harlan, Noele P. Nelson and David M. Hartley

    Published Online : 12 FEB 2010, DOI: 10.1002/9780470087923.hhs151

  14. You have free access to this content
    An overview of Internet biosurveillance

    Clinical Microbiology and Infection

    Volume 19, Issue 11, November 2013, Pages: 1006–1013, D. M. Hartley, N. P. Nelson, R. R. Arthur, P. Barboza, N. Collier, N. Lightfoot, J. P. Linge, E. van der Goot, A. Mawudeku, L. C. Madoff, L. Vaillant, R. Walters, R. Yangarber, J. Mantero, C. D. Corley and J. S. Brownstein

    Article first published online : 21 JUN 2013, DOI: 10.1111/1469-0691.12273

  15. Alerting Algorithms for Biosurveillance

    Disease Surveillance: A Public Health Informatics Approach

    Joseph S. Lombardo, David L. Buckeridge, Pages: 143–192, 2006

    Published Online : 2 NOV 2006, DOI: 10.1002/9780470131886.ch4

  16. Biosurveillance Tradecraft

    Standard Article

    Wiley Handbook of Science and Technology for Homeland Security

    James M. Wilson, Ronald A. Walters, Craig Kiebler and John Davies-Cole

    Published Online : 14 NOV 2008, DOI: 10.1002/9780470087923.hhs152

  17. Fast Bayesian scan statistics for multivariate event detection and visualization

    Statistics in Medicine

    Volume 30, Issue 5, 28 February 2011, Pages: 455–469, Daniel B. Neill

    Article first published online : 10 FEB 2011, DOI: 10.1002/sim.3881

  18. Comments on ‘Some methodological issues in biosurveillance’

    Statistics in Medicine

    Volume 30, Issue 5, 28 February 2011, Pages: 416–419, Henry R. Rolka

    Article first published online : 10 FEB 2011, DOI: 10.1002/sim.4112

  19. A methodology for inferring the causes of observed impairments in aquatic ecosystems

    Environmental Toxicology and Chemistry

    Volume 21, Issue 6, June 2002, Pages: 1101–1111, Glenn W. Suter II, Susan B. Norton and Susan M. Cormier

    Article first published online : 5 NOV 2009, DOI: 10.1002/etc.5620210602

  20. Comments on ‘Some methodological issues in biosurveillance’

    Statistics in Medicine

    Volume 30, Issue 5, 28 February 2011, Pages: 423–425, Krista D. Hanni

    Article first published online : 10 FEB 2011, DOI: 10.1002/sim.3954