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Applications of Information Theory to Epidemiology

Über Applications of Information Theory to Epidemiology

¿ 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.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783036503165
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 238
  • Veröffentlicht:
  • 14. April 2021
  • Gewicht:
  • 716 g.
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Beschreibung von Applications of Information Theory to Epidemiology

¿ 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.

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