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Vol. 56. Issue 9.
Pages 601-602 (September 2020)
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Vol. 56. Issue 9.
Pages 601-602 (September 2020)
Scientific Letter
DOI: 10.1016/j.arbr.2020.04.006
Statistical and mathematical modeling in the coronavirus epidemic: some considerations to minimize biases in the results
Modelado estadístico y matemático en la epidemia del coronavirus: algunas consideraciones para minimizar los sesgos en los resultados
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Marcos Matabuenaa,
Corresponding author
marcos.matabuena@usc.es

Corresponding author.
, Oscar Hernan Madrid Padillab, Francisco-Javier Gonzalez-Barcalac,d,e,f
a Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
b Department of Statistics, University of California, Los Angeles, United States
c Department of Medicine, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
d Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
e Department of Respiratory Medicine, University Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, A Coruña, Spain
f Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
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