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Hypothesis testClassical statistics

Robust ROC-analyse

Robust ROC-analyse evaluerer den diagnostiske nøjagtighed af en kontinuerlig eller ordinal biomarkør til at skelne mellem to grupper (f.eks. syge vs. raske), samtidig med at den beskytter mod de forvrængende effekter af outliers, ikke-normalitet eller distributionsafvigelser, der kan skævvride standard parametriske ROC-estimater og AUC-konfidensintervaller.

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Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. Pepe, M. S. (2000). An interpretation for the ROC curve and inference using GLM procedures. Biometrics, 56(2), 352–359. DOI: 10.1111/j.0006-341X.2000.00352.x
  2. Qin, G., & Zhou, X.-H. (2006). Empirical likelihood inference for the area under the ROC curve. Biometrics, 62(2), 613–622. DOI: 10.1111/j.1541-0420.2005.00453.x

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Receiver Operating Characteristic Analysis. ScholarGate. https://scholargate.app/da/statistics/robust-roc-analysis

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateRobust ROC analysis (Robust Receiver Operating Characteristic Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/robust-roc-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026