Selected article for: "curve analysis and ROC curve analysis"

Title: RESEARCH COMMUNICATIONS OF THE 28th ECVIM-CA CONGRESS
  • Document date: 2018_12_19
  • ID: r79h9yzz_923
    Snippet: Using the ROC curve analysis to differentiate DWH from DNTI+SD an AUC of 0.86 (p=0.003), 0.76 (p=0.009) and 0.75 (p=0.012) was obtained for fT3, fT4 and TT4, respectively. Values of fT3 <0.61pmol/L better discriminated hypothyroidism with 69% sensitivity (95%CI: 39‐91%), 83% specificity (95%CI: 63‐95%) and accuracy of 0.86 (95%CI: 0.74‐0.98)......
    Document: Using the ROC curve analysis to differentiate DWH from DNTI+SD an AUC of 0.86 (p=0.003), 0.76 (p=0.009) and 0.75 (p=0.012) was obtained for fT3, fT4 and TT4, respectively. Values of fT3 <0.61pmol/L better discriminated hypothyroidism with 69% sensitivity (95%CI: 39‐91%), 83% specificity (95%CI: 63‐95%) and accuracy of 0.86 (95%CI: 0.74‐0.98).

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