Selected article for: "international license and linear relationship"
Author: Fredi A Diaz-Quijano; Jose Mario Nunes da Silva; Fabiana Ganem; Silvano Oliveira; Andrea Liliana Vesga-Varela; Julio Croda
Title: A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil.
  • Document date: 2020_4_8
    • ID: 3dzv20b7_8
    Snippet: Demographic and clinical information was entered in an electronic database and then analyzed using Excel and STATA (version 15.0, Stata Corp LP, College Station, TX, USA). Data analysis included a description of the manifestations of the disease, according to etiology (COVID-19 vs. other illnesses [OI]). After descriptive analysis, the most functional form of the available variables was sought. This included the evaluation of composite variables .....
    Document: Demographic and clinical information was entered in an electronic database and then analyzed using Excel and STATA (version 15.0, Stata Corp LP, College Station, TX, USA). Data analysis included a description of the manifestations of the disease, according to etiology (COVID-19 vs. other illnesses [OI]). After descriptive analysis, the most functional form of the available variables was sought. This included the evaluation of composite variables for categorical predictors and the evaluation of the linear relationship between quantitative variables and the frequency of the outcome. Age showed a biological gradient with COVID-19; therefore, a simple imputation was made for cases . CC-BY-NC 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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