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Applications of Information Theory to Epidemiology
Coles
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Applications of Information Theory to Epidemiology in Grande Prairie, AB
Current price: $90.80

Coles
Applications of Information Theory to Epidemiology in Grande Prairie, AB
Current price: $90.80
Loading Inventory...
Size: Hardcover
*Product information and pricing may vary - to confirm current pricing, availability, shipping, and return information please contact Coles. In the event of a pricing discrepancy, the retailer's price will apply.
- Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. - The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. - In research articles, disease diagnosis and disease dynamics are viewed from both clinical medicine and plant pathology perspectives. Both theory and applications are discussed. - New theory is presented, particularly in the area of diagnostic decision-making taking account of predictive values, via developments of the predictive receiver operating characteristic curve. - New applications of information theory to the analysis of observational studies of disease dynamics in both human and plant populations are presented.
- Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. - The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. - In research articles, disease diagnosis and disease dynamics are viewed from both clinical medicine and plant pathology perspectives. Both theory and applications are discussed. - New theory is presented, particularly in the area of diagnostic decision-making taking account of predictive values, via developments of the predictive receiver operating characteristic curve. - New applications of information theory to the analysis of observational studies of disease dynamics in both human and plant populations are presented.




















