Usikivu na Ubora
Usikivu na ubora ni vipimo msingi vya usahihi wa kipimo cha uchunguzi. Usikivu ni uwezekano kwamba kipimo kinamtambua kwa usahihi mtu mwenye ugonjwa (kiwango cha kweli cha chanya: TP / (TP + FN)). Ubora ni uwezekano kwamba kipimo kinamtambua kwa usahihi mtu bila ugonjwa (kiwango cha kweli cha hasi: TN / (TN + FP)). Kila kipimo huleta mgawanyo: kuongeza usikivu (kukamata wagonjwa wote) mara nyingi hupunguza ubora (kengele bandia zaidi). Uchaguzi wa kizingiti cha kipimo hutegemea mazingira ya kimatibabu: uchunguzi wa magonjwa hatari hupendelea usikivu; kuthibitisha utambuzi hupendelea ubora.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Altman, D. G., & Bland, J. M. (1994). Diagnostic tests 1: Sensitivity and specificity. BMJ, 308(6943), 1552. link ↗
- Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861–874. DOI: 10.1016/j.patrec.2005.10.010 ↗
- Metz, C. E. (1978). Basic principles of ROC analysis. Seminars in Nuclear Medicine, 8(4), 283–298. DOI: 10.1016/S0001-2998(78)80014-2 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Sensitivity and Specificity in Diagnostic Testing and Binary Classification. ScholarGate. https://scholargate.app/sw/research-statistics/sensitivity-specificity
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.
- Ukubwa wa Athari (Effect Size)Takwimu za Utafiti↔ compare
- Upimaji wa Hipothesi sifuriTakwimu za Utafiti↔ compare
- P-Value na Umuhimu wa KimahesabuTakwimu za Utafiti↔ compare
- Makosa ya Aina ya I na Aina ya IITakwimu za Utafiti↔ compare
Imerejelewa na
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