Developments in general and syndromic surveillance for small area health data

Journal of Applied Statistics

Volumn 31, Issue 8, 2004, Pages 951-966

  Lawson, Andrew ^a   Clark, Allan ^a   Vidal Rodeiro, Carmen L ^a  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Health; Small area; Statistics; Surveillance; Syndromic

Indexed keywords

EID: 8744307128     PISSN: 02664763     EISSN: None     Source Type: Journal    
DOI: 10.1080/0266476042000270568     Document Type: Article

References (22)

1. Besag, J., York, J. & Mollié, A. (1991) A Bayesian image restoration, with two applications in spatial statistics (with discussion), Annals of the Institute of Statistical Mathematics, 43, pp. 1-59.
2. Carlin, B. P. & Louis, T. A. (2000) Bayes and Empirical Bayes Methods for Data Analysis (New York: Chapman & Hall).
3. De-Mare, J. (1980) Optimal prediction of catastrophes with applications to gaussian processes, The Annals of Probability, 4, pp. 841-850.
4. Diciccio, T., Kass, R., Raftery, A. & Wasserman, L. (1997) Computing Bayes factors by combining simulation and asymptotic approximations, Journal of the American Statistical Association, 92, pp. 903-915.
5. Doucet, A., de Freitas, N. & Gordon, N. (2001) Sequential Monte Carlo Methods in Practice (New York: Springer).
6. Efron, B. & Tibshirani, R. J. (1993) An Introduction to Bootstrap (New York: Chapman & Hall).
7. Frisen, M. & De-Mare, J. (1991) Optimal surveillance, Biometrika, 78, pp. 271-280.
8. Genkin, A., Lewis, D. D. & Madigan, D. (2004) Large-scale bayesian logistic regression for text categorisation. Manuscript.
9. Hand, D. J. (1999) Statistics and data mining: Intersecting disciplines, ACM SIGKDD, 1, pp. 16-19.
10. Kass, R. & Raftery, A. (1995) Bayes factors, Journal of the American Statistical Association, 90, pp.773-795.
11. Knorr-Held, L. (2000) Bayesian modelling of inseparable space-time variation in disease risk, Statistics in Medicine, 19, pp. 2555-2567.
12. Lawson, A. B. (2001a) Population health surveillance, in: Encyclopedia of Environmetrics (Chichester: Wiley).
13. Lawson, A. B. (2001b) Statistical Methods in Spatial Epidemiology (New York: Wiley).
14. Lawson, A. B. (2001c) Tutorial in biostatistics: disease map reconstruction, Statistics in Medicine, 20, pp. 2183-2204.
15. Lawson, A. B. (2004) Some issues in the spatio-temporal analysis of public health surveillance data, in: R. Brookmeyer & D. Stroup (Eds) Monitoring the Health of Populations: Statistical Principles and Methods for Public Health Surveillance, Chapter 11 (Oxford: Oxford University Press).
16. Lawson, A. B. & Kleinman, K. (2005) Spatial Surveillance for Public Health (Chichester: Wiley).
17. Liu, J. & Chen, R. (1998) Sequential monte carlo methods for dynamic systems, Journal of the American Statistical Association, 93, pp. 1032-1044.
18. Moore, A. W. (1999) Very fast mixture-model-based clustering using multiresolution kd-trees, in: M. Kearns & D. Cohn (Eds) Advances in Neural Information Processing Systems, Volume 10, pp. 543-549 (San Francisco, CA: Morgan Kaufmann).
19. Ridgeway, G. & Madigan, D. (2002) A sequential monte carlo method for Bayesian analysis of massive datasets, Journal of Data Mining and Knowledge Discovery, 1, p. 24.
20. Sonesson, C. & Bock, D. (2003) A review and discussion of prospective statistical surveillance in public health, Journal of the Royal Statistical Society, Series A, 166, pp. 5-21.
21. Tierney, L. & Kadane, J. (1986) Accurate approximations for posterior moments and marginal densities, Journal of the American Statistical Association, 81, pp. 82-86.
22. Wong, W., Moore, A., Cooper, G. & Wagner, M. (2002) Rule-based anomaly pattern detection for detecting disease outbreaks, in 18th National Conference on Artificial Intelligence (Cambridge, MA: MIT Press).