Comparing directionally sensitive MCUSUM and MEWMA procedures with application to biosurveillance

Quality Engineering

Volumn 20, Issue 4, 2008, Pages 478-494

  Fricker, Ronald D Jr ^a   Knitt, Matthew C ^a   Hu, Cecilia X ^a  

^a NAVAL POSTGRADUATE SCHOOL   (United States)

Author keywords

Adaptive regression; CUSUM; Epidemiologic surveillance; EWMA; Multivariate; Public health; Syndromic surveillance

Indexed keywords

CONTROL THEORY; FOOD PROCESSING; PRODUCTION CONTROL;

ADAPTIVE REGRESSION; BIOSURVEILLANCE; CUSUM; EPIDEMIOLOGIC SURVEILLANCE; EWMA; MULTIVARIATE; MULTIVARIATE EXPONENTIALLY WEIGHTED MOVING AVERAGE; MULTIVARIATE METHODS; PUBLIC HEALTH; SYNDROMIC SURVEILLANCE; SYSTEMATIC EFFECTS; UNIVARIATE;

STATISTICAL PROCESS CONTROL;

EID: 52349108979     PISSN: 08982112     EISSN: 15324222     Source Type: Journal    
DOI: 10.1080/08982110802334104     Document Type: Article

References (32)

1. Burkom, H. S., Murphy, S. P. and Shmueli, G. (2007) Automated time series forecasting for biosurveillance. Statistics in Medicine, 26, pp. 4202-4218.
2. (2004) Syndromic surveillance: Reports from a National Conference, 2003. Morbidity and Morality Weekly Report, 53
3. (2005)
4. Chang, J. T. and Fricker, R. D. (1999) Detecting when a monotonically increasing mean has crossed a threshold. Journal of Quality Technology, 31, pp. 217-234.
5. Crosier, R. B. (1988) Multivariate generalizations of cumulative sum quality control schemes. Technometrics, 30, pp. 291-303.
6. Crowder, S. V. and Hamilton, M. D. (1992) An EWMA for monitoring a process standard deviation. Journal of Quality Technology, 24, pp. 12-21.
7. Dunfee, D. A. and Hegler, B. L. (2007) Biological Terrorism Preparedness: Evaluating the Performance of the Early Aberration Reporting System (EARS) Syndromic Surveillance Algorithms, Monterey, CA
8. Espino, J. U. and Wagner, M. M. (2001) The Accuracy of ICD-9-Coded Chief Complaints for Detection of Acute Respiratory Illness
9. Follmann, D. (1996) A simple multivariate test for one-sided alternatives. Journal of the American Statistical Association, 91, pp. 854-861.
10. Fraker, S. E., Woodall, W. H. and Mousavi, S. (2008) Performance Metrics for Surveillance Schemes. Quality Engineering, 20:4, pp. 392-404.
11. Fricker Jr., R. D. (2007) Directionally sensitive multivariate statistical process control methods with application to syndromic surveillance. Advances in Disease Surveillance
12. Fricker Jr., R. D. (2008) Encyclopedia of Quantitative Risk Assessment, pp. 1743-1752. John Wiley & Sons
13. Fricker, R. D., Hegler, B. L. and Dunfee, D. A. (2008) Comparing syndromic surveillance detection methods: EARS' versus a CUSUM-based methodology. Statistics in Medicine, 27, pp. 3407-3429.
14. Fricker Jr., R. D. and Rolka, H. (2006) Protecting against biological terrorism: Statistical issues in electronic biosurveillance. Chance, 91, pp. 4-13.
15. Healy, J. D. (1987) A note on multivariate CUSUM procedures. Technometrics, 29, pp. 409-412.
16. Hu, C. X. and Knitt, M. C. (2007) A Comparative Analysis of Multivariate Statistical Detection Methods Applied to Syndromic Surveillance, Master's thesis, Naval Postgraduate School, Monterey, CA
17. Joner Jr., M. D., Woodall, W. H., Reynolds Jr., M. R. and Fricker Jr., R. D. (2008) A one-sided MEWMA chart for health surveillance. Quality and Reliability Engineering International, 24, pp. 503-519.
18. Kleinman, K. P., Abrams, A., Mandl, K. and Platt, R. (2005) Simulation for assessing statistical methods of biologic terrorism surveillance. Morbidity and Mortality Weekly Report
19. Kudo, A. (1963) A multivariate analogue of the one-sided test. Biometrika, 50, pp. 403-418.
20. Lotze, T., Murphy, S. P. and Shmueli, G. (2007) Preparing biosurveillance data for classic monitoring. Advances in Disease Surveillance, 2, p. 55.
21. Lowry, C. A., Woodall, W. H., Champ, C. W. and Rigdon, S. E. (1992) A multivariate exponentially weighted moving average control chart. Technometrics, 34:1, pp. 46-53.
22. Montgomery, D. C. (2001) Introduction to Statistical Quality Control, John Wiley & Sons, New York
23. Perlman, M. D. (1969) One-sided testing problems in multivariate analysis. The Annals of Mathematical Statistics, 40, pp. 549-567.
24. Pignatiello, J. J. and Runger, G. C. (1990) Comparisons of multivariate CUSUM charts. Journal of Quality Technology, 3, pp. 173-186.
25. Reis, B. Y., Pagano, M. and Mandl, K. D. (2003) Using temporal context to improve biosurveillance. Proceedings of the National Academy of Sciences, 100, pp. 1961-1965.
26. Roberts, S. W. (1959) Control chart tests based on geometric moving averages. Technometrics, 1, pp. 239-250.
27. Rogerson, P. A. and Yamada, I. (2004) Monitoring change in spatial pattens of disease: Comparing univariate and multivariate cumulative sum approaches. Statistics in Medicine, 23, pp. 2195-2214.
28. Shmueli, G. (2006) Technometrics
29. Stoto, M. A. (2007) Encyclopedia of Quantitative Risk Assessment, John Wiley & Sons
30. Stoto, M. A., Fricker Jr., R. D., A., Jain, Diamond, A., Davies-Cole, J. O., Glymph, C., Kidane, G., Lum, G., Jones, L., Dehan, K. and Yuan, C. (2006) Statistical Methods in Counterterrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication, Springer, New York
31. Testik, M. C. and Runger, G. C. (2006) Multivariate one-sided control charts. IIE Transactions, 30, pp. 635-645.
32. Woodall, W. H. (2006) The use of control charts in health-care and public-health surveillance. Journal of Quality Technology, p. 38:1.