Selected article for: "analysis logistic regression and logistic regression"
Author: Choi, Juwhan; Oh, Jee Youn; Lee, Young Seok; Hur, Gyu Young; Lee, Sung Yong; Shim, Jae Jeong; Kang, Kyung Ho; Min, Kyung Hoon
Title: The association between blood eosinophil percent and bacterial infection in acute exacerbation of chronic obstructive pulmonary disease
  • Document date: 2019_5_6
    • ID: 5l6rsa94_10
    Snippet: The logistic regression analysis was assessed by the Hosmer-Lemeshow test, with P-value <0.05 considered statistically significant. Multivariate analysis was performed in three different models. Model-1 analyzed only bacterial pathogen identification, bacterial-viral pathogen co-identification, and laboratory findings (WBC, CRP). Model-2 analyzed all other factors that were statistically significant in the univariate analysis except for the nopat.....
    Document: The logistic regression analysis was assessed by the Hosmer-Lemeshow test, with P-value <0.05 considered statistically significant. Multivariate analysis was performed in three different models. Model-1 analyzed only bacterial pathogen identification, bacterial-viral pathogen co-identification, and laboratory findings (WBC, CRP). Model-2 analyzed all other factors that were statistically significant in the univariate analysis except for the nopathogen identification factor. Model-3 analyzed the age and gender along with the factors of model-2.

    Search related documents:
    Co phrase search for related documents
    • bacterial pathogen identification and logistic regression analysis: 1, 2
    • bacterial pathogen identification and pathogen co identification: 1, 2, 3
    • bacterial pathogen identification and pathogen identification: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • bacterial pathogen identification and regression analysis: 1, 2
    • bacterial viral pathogen co identification and co identification: 1, 2, 3
    • bacterial viral pathogen co identification and logistic regression analysis: 1, 2
    • bacterial viral pathogen co identification and pathogen co identification: 1, 2, 3
    • bacterial viral pathogen co identification and pathogen identification: 1, 2, 3
    • bacterial viral pathogen co identification and regression analysis: 1, 2
    • co identification and logistic regression analysis: 1, 2
    • co identification and Multivariate analysis: 1
    • co identification and pathogen co identification: 1, 2, 3, 4, 5, 6
    • co identification and pathogen identification: 1, 2, 3, 4, 5, 6
    • co identification and regression analysis: 1, 2
    • different model and gender age: 1, 2, 3, 4, 5, 6
    • different model and logistic regression analysis: 1, 2
    • different model and Multivariate analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • different model and regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • gender age and regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25