Selected article for: "exact test and statistical significance"
Author: Meyer Sauteur, Patrick M; Krautter, Selina; Ambroggio, Lilliam; Seiler, Michelle; Paioni, Paolo; Relly, Christa; Capaul, Riccarda; Kellenberger, Christian; Haas, Thorsten; Gysin, Claudine; Bachmann, Lucas M; van Rossum, Annemarie M C; Berger, Christoph
Title: Improved Diagnostics Help to Identify Clinical Features and Biomarkers That Predict Mycoplasma pneumoniae Community-acquired Pneumonia in Children
  • Document date: 2019_10_26
    • ID: 1xkc01l5_13
    Snippet: The nonparametric Mann-Whitney U test was used to compare continuous variables and the Fisher exact test to compare proportions between Mp-positive and Mp-negative groups. We calculated the area under the receiver operating characteristic (ROC) curve (AUC) of clinical features and biomarkers in differentiating between groups determined by Mp IgM ASC ELISpot assay (reference standard). We considered AUC ≥ 0.75 as adequate discrimination [21] . A.....
    Document: The nonparametric Mann-Whitney U test was used to compare continuous variables and the Fisher exact test to compare proportions between Mp-positive and Mp-negative groups. We calculated the area under the receiver operating characteristic (ROC) curve (AUC) of clinical features and biomarkers in differentiating between groups determined by Mp IgM ASC ELISpot assay (reference standard). We considered AUC ≥ 0.75 as adequate discrimination [21] . AUC differences were calculated using the DeLong test. Missing values were removed (ignored by roc.formula [22] ). The best biomarker threshold was defined as the optimal cutoff that maximized the distance to the identity (diagonal) line in the ROC curve according to Youden J statistic. All reported P values are 2-tailed with statistical significance defined as P value <.05. Data were analyzed using the R software environment, version 3.6.0 [22] .

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