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.
Baca kaedah sepenuhnya
Log masuk dengan akaun percuma untuk membaca bahagian ini.
Method map
The neighbourhood of related methods — select a node to explore.
Sumber
- 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 ↗
- 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.
- Analisis Saiz Kesan RobustStatistik↔ compare
- Ujian Mann-Whitney U RobustStatistik↔ compare
- Analisis ROC (Receiver Operating Characteristic)Statistik↔ compare
Terjumpa masalah pada halaman ini? Laporkan atau cadangkan pembetulan →