Modeling influenza incidence for the purpose of on-line monitoring
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Publication:3597115
DOI10.1177/0962280206078986zbMath1156.62081OpenAlexW2099390810WikidataQ80796359 ScholiaQ80796359MaRDI QIDQ3597115
David N. Bock, E. Andersson, Marianne Frisén
Publication date: 9 February 2009
Published in: Statistical Methods in Medical Research (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2077/7584
Nonparametric regression and quantile regression (62G08) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
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On Unimodal Regression in the Exponential Family ⋮ Multivariate outbreak detection ⋮ Semiparametric estimation of outbreak regression ⋮ Optimal Sequential Surveillance for Finance, Public Health, and Other Areas ⋮ Semiparametric Surveillance of Monotonic Changes ⋮ Modeling seasonality in space-time infectious disease surveillance data
Cites Work
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- A statistical framework for the analysis of multivariate infectious disease surveillance counts
- Properties and Use of the Shewhart Method and Its Followers
- Evaluations of some Exponentially Weighted Moving Average methods
- Estimation and forecasting hospital admissions due to Influenza: Planning for winter pressure. The case of the West Midlands, UK
- Optimal surveillance
- Statistical Surveillance. Optimality and Methods
- On Optimum Methods in Quickest Detection Problems
- Discrete Time Modelling of Disease Incidence Time Series by Using Markov Chain Monte Carlo Methods
- CONTINUOUS INSPECTION SCHEMES
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