Selected article for: "Categorical variable and logistic regression analysis"
Author: Cong-Ying Song; Jia Xu; Jian-Qin He; Yuan-Qiang Lu
Title: COVID-19 early warning score: a multi-parameter screening tool to identify highly suspected patients
  • Document date: 2020_3_8
    • ID: fcvstps9_30
    Snippet: Variables with P < 0.05 were selected to perform multivariate logistic regression analysis by using the forward stepwise method. In order to facilitate the later establishment of a scoring tool, NLR and Tmax were transformed into a categorical variable (< 5.8 / Table 1 ). The equation was derived: Probability (COVID-19) = 1 / 1 + exp -[ -9.106 + (2.79 x Fever) + (4.58 x History of close contact) + All rights reserved. No reuse allowed without per.....
    Document: Variables with P < 0.05 were selected to perform multivariate logistic regression analysis by using the forward stepwise method. In order to facilitate the later establishment of a scoring tool, NLR and Tmax were transformed into a categorical variable (< 5.8 / Table 1 ). The equation was derived: Probability (COVID-19) = 1 / 1 + exp -[ -9.106 + (2.79 x Fever) + (4.58 x History of close contact) + All rights reserved. No reuse allowed without permission.

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