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Hypothesis testClassical statistics

Uchambuzi Imara wa ROC

Uchambuzi imara wa ROC hutathmini usahihi wa utambuzi wa alama za kibiolojia zinazoendelea au za mpangilio katika kutofautisha kati ya vikundi viwili (k.m., wenye ugonjwa dhidi ya wenye afya) huku ukilinda dhidi ya athari za upotoshaji za maadili ya nje, kutokuwa kwa kawaida, au ukiukwaji wa mgawanyo ambao unaweza kupotosha makadirio sanifu ya vigezo vya ROC na vipindi vya ujasiri vya AUC.

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Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

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

Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Receiver Operating Characteristic Analysis. ScholarGate. https://scholargate.app/sw/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.

Compare side by side
ScholarGateRobust ROC analysis (Robust Receiver Operating Characteristic Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-roc-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026