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Statistical issues at online surveillance I Inferential framework II Demonstration of computer program III Complicated problems - examples Marianne Frisn DIMACS 2003 1 Complications Complicated changes Non-normal


  1. Statistical issues at online surveillance • I Inferential framework • II Demonstration of computer program • III Complicated problems - examples Marianne Frisén DIMACS 2003 1

  2. Complications • Complicated changes • Non-normal distribution • Dependency • Multivariate – Frisén, M. (in press), Statistical Surveillance. Optimality and Methods., International Statistical Review . Marianne Frisén DIMACS 2003 2

  3. Type of change • Gradual change • Change from unknown baseline • Change of dependency structure • Change in monotonicity Marianne Frisén DIMACS 2003 4

  4. Hormone cycles Indicator -50 -40 -30 -20 -10 0 10 20 Time Marianne Frisén DIMACS 2003 5

  5. No parametric assumption for the curve Maximum likelihood ratio   max f ( x C )   s ′ ≥ k x :   s   max f ( x D )   s • ML estimation under monotonicity restrictions • Frisén, M. (1986) Unimodal regression. The Statistician, 35, 479- 485. • Andersson, E., Bock, D. and Frisén, M. (2002) Statistical surveillance of cyclical processes with application to turns in business cycles. Submitted . Marianne Frisén DIMACS 2003 6

  6. Non-normal distribution • Occurrence of diseases – Sonesson, C. and Bock, D. (2002): A review and discussion of prospective statistical surveillance in public health. Journal of the Royal Statistical Society ser. A (2003), 166 , part 1, pp. 5-21. Marianne Frisén DIMACS 2003 7

  7. Dependency • Robustness • Change of alarm limits • LR Marianne Frisén DIMACS 2003 8

  8. Monitoring of pregnancy • Now in Sweden: Shewhart of cross sectional data • Suggested: Shirayev-Roberts of longitudinal statistic • Improvements in probability of successful detection – Petzold, M., Sonesson, C., Bergman, E. and Kieler, H. (2003): Detection of intrauterine growth retardation. Submitted. Marianne Frisén DIMACS 2003 9

  9. Multivariate surveillance • Reduction to univariate statistic • Parallell surveillance • Likelihood for full multivaraiate problem – Wessman, P. (1998): Some principles for surveillance adopted for multivariate processes with a common change point. Communications in Statistics - Theory and Methods, 27, 1143-1161. – Wessman, P. (1999): The surveillance of several processes with different change points. Research Report 1999:2, Department of Statistics, Göteborg University. Marianne Frisén DIMACS 2003 10

  10. Radiation • Järpe, E. (2000): Detection of environmental catastrophes. Research Report 2000:6, Department of Statistics, Göteborg University. • Järpe, E. (2001): Environmental surveillance. In Encyclopedia of Environmetrics, Eds. El- Shaarawi, A. and Piegorsh, W.W. Sweden Marianne Frisén DIMACS 2003 11

  11. Concluding remarks • Reductions to simpler problems are often possible • Likelihood ratio method is a useful tool Marianne Frisén DIMACS 2003 12

  12. Work from Statistical Research Unit University of Gothenburg Sweden http://www.Statistics.GU.se/forskbquick.html Marianne Frisén DIMACS 2003 13

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