Selected article for: "negative correlation and significant negative correlation"

Title: 2018 ACVIM Forum Research Abstract Program: Seattle, Washington, June 14 - 15, 2018
  • Document date: 2018_10_25
  • ID: 60ceejq1_653
    Snippet: Fifty cats were enrolled in the study. Twenty-five cats were determined to be healthy, while the other 25 were determined to be systemically ill. All urine samples had detectable levels of F2-isoprostanes. A significant negative correlation was identified between the two methods (ρ = 0.364, P=0.009). No significant correlation was identified when the healthy and systemically ill cats were compared in sub-group analysis. Passing and Bablok regres.....
    Document: Fifty cats were enrolled in the study. Twenty-five cats were determined to be healthy, while the other 25 were determined to be systemically ill. All urine samples had detectable levels of F2-isoprostanes. A significant negative correlation was identified between the two methods (ρ = 0.364, P=0.009). No significant correlation was identified when the healthy and systemically ill cats were compared in sub-group analysis. Passing and Bablok regression showed poor agreement between the two methods. This comparison demonstrated a non-linear relationship and proportional bias. The concentration of urinary F2-isoprostanes as measured by ELISA was significantly lower in systemically ill cats when compared to healthy cats (P=0.002). No significant difference was identified when urinary F2-isoprostanes were measured by GC-MS (P=0.068).

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