Selected article for: "logistic regression and multivariable model"
Author: Bhuiyan, Mejbah Uddin; Snelling, Thomas L; West, Rachel; Lang, Jurissa; Rahman, Tasmina; Borland, Meredith L; Thornton, Ruth; Kirkham, Lea-Ann; Sikazwe, Chisha; Martin, Andrew C; Richmond, Peter C; Smith, David W; Jaffe, Adam; Blyth, Christopher C
Title: Role of viral and bacterial pathogens in causing pneumonia among Western Australian children: a case–control study protocol
  • Document date: 2018_3_16
    • ID: w3rxdaii_53
    Snippet: Where numbers permit, a multivariable regression model will be developed to explore the existence of significant pair-wise interactions between respiratory pathogens and disease status. Disease severity for the cases will be assessed using Respiratory Index of Severity in Children score (RISC) based on Australian children growth standard [63] [64] [65] . Where numbers permit we will explore the relationship between detection of specific pathogens.....
    Document: Where numbers permit, a multivariable regression model will be developed to explore the existence of significant pair-wise interactions between respiratory pathogens and disease status. Disease severity for the cases will be assessed using Respiratory Index of Severity in Children score (RISC) based on Australian children growth standard [63] [64] [65] . Where numbers permit we will explore the relationship between detection of specific pathogens and pathogen co-infections and severe disease (versus control status) using multivariable logistic regression models as described for model 1 (model 2).

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