Selected article for: "adjusted regression and logistic regression model"

Author: Jang, Won Mo; Kim, Un-Na; Jang, Deok Hyun; Jung, Hyemin; Cho, Sanghyun; Eun, Sang Jun; Lee, Jin Yong
Title: Influence of trust on two different risk perceptions as an affective and cognitive dimension during Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea: serial cross-sectional surveys
  • Document date: 2020_3_4
  • ID: xpwox6of_53
    Snippet: Univariate analyses using chi-square test were performed in the five consecutive surveys, entirely and respectively, to identify the relationships between risk perception and each demographic variable. We used multivariable logistic regression analyses to explore factors influencing risk perceptions (affective and cognitive) in the five surveys, entirely and respectively. Basic multivariable logistic regression model was adjusted for gender, age,.....
    Document: Univariate analyses using chi-square test were performed in the five consecutive surveys, entirely and respectively, to identify the relationships between risk perception and each demographic variable. We used multivariable logistic regression analyses to explore factors influencing risk perceptions (affective and cognitive) in the five surveys, entirely and respectively. Basic multivariable logistic regression model was adjusted for gender, age, educational attainment, occupation, perceived household economic status, affected area, residential area, presidential job approval, and party identification. Basic model was used in analysis for each affective and cognitive risk perception, "y = 1" was used respectively when "worried" in affective and when "spread" in cognitive, otherwise "y = 0" was used.

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