Selected article for: "dependent variable and logistic regression"
Author: Vittucci, Anna Chiara; Spuri Vennarucci, Valentina; Grandin, Annalisa; Russo, Cristina; Lancella, Laura; Tozzi, Albero Eugenio; Bartuli, Andrea; Villani, Alberto
Title: Pertussis in infants: an underestimated disease
  • Document date: 2016_8_15
    • ID: 10xqdm7m_18
    Snippet: We described the characteristics of patients, their symptoms and clinical findings. Patients were divided into three groups: patients with BP positive aspirate (BP+), patients with RV positive aspirate (RV+) and patients with BP and RV negative aspirate (BP-RV-). Comparisons across groups were performed through ANOVA for continuous measures and chi-square for discrete variables. To assess the symptoms or clinical findings predictive of pertussis .....
    Document: We described the characteristics of patients, their symptoms and clinical findings. Patients were divided into three groups: patients with BP positive aspirate (BP+), patients with RV positive aspirate (RV+) and patients with BP and RV negative aspirate (BP-RV-). Comparisons across groups were performed through ANOVA for continuous measures and chi-square for discrete variables. To assess the symptoms or clinical findings predictive of pertussis we applied a logistic regression model in which the dependent variable was dichotomous (pertussis yes/no).

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