Selected article for: "exact test and logistic regression"
Author: Toh, Teck-Hock; Hii, King-Ching; Fieldhouse, Jane K; Ting, Jakie; Berita, Antoinette; Nguyen, Tham Thi; Wong, See-Chang; Wong, Toh-Mee; Lim, Wei-Honn; Ha, Siaw-Jing; Lau, Chuet-Zou; Kong, Sing-Ling; Bailey, Emily S; Warkentien, Tyler E; Husain, Tupur S; Gray, Gregory C
Title: High Prevalence of Viral Infections Among Hospitalized Pneumonia Patients in Equatorial Sarawak, Malaysia
  • Document date: 2019_2_13
    • ID: 08kqtw8s_17
    Snippet: Questionnaire data and molecular results were entered into REDCap version 7.0 and verified at SHCRC and at Duke. Data were imported into STATA version 15.0 (StataCorp, College Station, TX), cleaned, and categorized for statistical analyses. We categorized continuous variables based on the distribution of the counts for household size (quartiles) and for age (quartiles). After examining age quartiles, we rounded age categories into approximate age.....
    Document: Questionnaire data and molecular results were entered into REDCap version 7.0 and verified at SHCRC and at Duke. Data were imported into STATA version 15.0 (StataCorp, College Station, TX), cleaned, and categorized for statistical analyses. We categorized continuous variables based on the distribution of the counts for household size (quartiles) and for age (quartiles). After examining age quartiles, we rounded age categories into approximate age quartiles so that age was treated as a whole number. Demographic and clinical risk factors were examined for bivariate associations with the most prevalent positive molecular assays. Pearson's χ 2 test or Fishers exact test were used for bivariate work. Risk factors with a bivariate test statistic P ≤ .1 were included in stepwise, manual, backward-elimination, unconditional logistic regression models. Risk factors with P < .05 were retained in final models, and odds ratios (ORs) and 95% confidence intervals (CIs) were calculated.

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