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Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretability.
Reich, Nicholas G; Osthus, Dave; Ray, Evan L; Yamana, Teresa K; Biggerstaff, Matthew; Johansson, Michael A; Rosenfeld, Roni; Shaman, Jeffrey.
Afiliação
  • Reich NG; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA 01003; nick@schoolph.umass.edu.
  • Osthus D; Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545.
  • Ray EL; Department of Mathematics and Statistics, Mount Holyoke College, South Hadley, MA 01075.
  • Yamana TK; Department of Environmental Health Sciences, Columbia University, New York, NY 10032.
  • Biggerstaff M; Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30333.
  • Johansson MA; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, PR 00920.
  • Rosenfeld R; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Shaman J; Department of Environmental Health Sciences, Columbia University, New York, NY 10032.
Proc Natl Acad Sci U S A ; 116(42): 20811-20812, 2019 10 15.
Article em En | MEDLINE | ID: mdl-31558611
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Influenza Humana Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Influenza Humana Idioma: En Ano de publicação: 2019 Tipo de documento: Article