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Hypothesis testClassical statistics

Analisis ROC Mantap

Analisis ROC mantap menilai ketepatan diagnostik biomarker berterusan atau ordinal dalam membezakan antara dua kumpulan (cth., pesakit vs. sihat) sambil melindungi daripada kesan pencemaran pencilan, ketidaknormalan, atau pelanggaran taburan yang boleh membiaskan anggaran ROC parametrik standard dan selang keyakinan AUC.

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Method map

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

Sumber

  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

Cara memetik halaman ini

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

Which method?

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). Dicapai 2026-06-15 daripada https://scholargate.app/ms/statistics/robust-roc-analysis · Set data: https://doi.org/10.5281/zenodo.20539026