Biology Reference
In-Depth Information
Farrington, C. P, N. J. Andrews, A. D. Beale, and M. A. Catchpole (1996). A statistical
algorithm for the early detection of outbreaks of infectious Disease, Journal of the
Royal Statistical Society, Series A 159 , 547-563.
Fouillet, A., G. Rey, V. Wagner, K. Laaidi, P. Empereur-Bissonnet, A. Le Tertre, P.
Frayssinet, P. Bessemoulin, F. Laurent, P. De Crouy-Chanel, E. Jougla, and D.
Hémon (2008). Has the impact of heat waves on mortality changed in France
since the European heat wave of summer 2003? A study of the 2006 heat wave.
International Journal of Epidemiology 37, 309-317.
Freeland, R. K. and B. P. M. McCabe (2004). Analysis of low count time series data by
Poisson autoregression. Journal of Time Series Analysis 25 ( 5 ), 701-722.
Frisén, M. (2003). Statistical surveillance: optimality and methods. International
Statistical Review 71 ( 2 ), 403-434.
Frisén, M. (1992). Evaluations of methods for statistical surveillance. Statistics in
Medicine 11 , 1489-1502.
GÕmez-Rubio V., J. Ferrándiz-Ferragud, and A. López-Quílez (2005). Detecting clus-
ters of disease with R. Journal of Geographical Systems , 7 ( 2 ), 189-206.
Gergonne, B., R. Pebody, N. Andrews, W. Bird, M. Gibbs, and C. Griffiths (2005).
Mortality early warning system based on weekly death registrations in England,
Oral presentation 154 , Annual Conference, Warwick, U.K., September 12-14,
2005, Abstracts: oral presentations and posters. London: Health Protection
Agency, 107.
Hawkins, D. M. and D. H. Olwell (1998). Cumulative Sum Charts and Charting for
Quality Improvement . Statistics for Engineering and Physical Science, Springer.
Heisterkamp, S. H., A. L. M. Dekkers, and J. C. M. Heijne (2006). Automated detec-
tion of infectious disease outbreaks: hierarchical time series models. Statistics in
Medcine 25 , 4179-4196.
Höhle, M. (2007). Surveillance: An R package for the monitoring of infectious dis-
eases. Computational Statistics 22 ( 4 ), 571-582.
Held, L., M. Hofmann, M. Höhle, and V. Schmid (2006). A two component model for
counts of infectious diseases. Biostatistics 7 , 422-437.
Held, L., M. Höhle, and M. Hofmann (2005). A statistical framework for the analy-
sis of multivariate infectious disease surveillance data. Statistical Modelling 5 ,
187-199.
Höhle, M. and M. Paul (2008). Count data regression charts for the monitoring of sur-
veillance time series. Computational Statistics and Data Analysis 52 (9), 4357-4368.
Höhle, M., M. Paul, and L. Held (2009). Statistical approaches to the surveillance of
infectious diseases for veterinary public health. Preventive Veterinary Medicine ,
91 (1), 2-10.
Josseran, L., J. Nicolau, N. Caillère, P. Astagneau, and G. Brücker (2006). Syndromic
surveillance based on emergency department activity and crude mortality: two
examples. Eurosurveillance 11 ( 12 ), 01 Dec, pii=668.
Kaiser, R., D. C´ oulombier, M. Baldari, D. Morgan, and C. Paquet (2006). What is epi-
demic intelligence, and how is it being improved in Europe? Eurosurveillance
11 ( 5 ), 02 Feb, pii=2892.
Kuhn, Max and Steve Weaston (2009). odfWeave: Sweave processing of Open
Document Format (ODF) files. R package version 0.7.10.
Lecoutre, E. (2003). The R2HTML Package R News 3(3) , 33-36.
Search WWH ::




Custom Search