Selected article for: "adjusted obtain and logistic regression"
Author: Thornton, Hannah V; Hay, Alastair D; Redmond, Niamh M; Turnbull, Sophie L; Christensen, Hannah; Peters, Tim J; Leeming, John P; Lovering, Andrew; Vipond, Barry; Muir, Peter; Blair, Peter S
Title: Throat swabs in children with respiratory tract infection: associations with clinical presentation and potential targets for point-of-care testing
  • Document date: 2017_2_18
    • ID: r3fzwy00_16
    Snippet: We used univariable and multivariable logistic regression models to examine predictive values of symptoms and signs for microbe detection, adjusted for demographic variables. Those associated (P < 0.01) with detection of RTI-related microbes in univariable analysis were entered into multivariable models. Manual backward stepwise binary logistic regression was used to obtain adjusted ORs for microbe detection in the presence of symptoms and signs......
    Document: We used univariable and multivariable logistic regression models to examine predictive values of symptoms and signs for microbe detection, adjusted for demographic variables. Those associated (P < 0.01) with detection of RTI-related microbes in univariable analysis were entered into multivariable models. Manual backward stepwise binary logistic regression was used to obtain adjusted ORs for microbe detection in the presence of symptoms and signs.

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