ScholarGate
Msaidizi
Hypothesis test

Mfumo wa Matukio Yanayoshindana wa Fine-Gray

Mfumo wa Fine-Gray ni mbinu ya urejeshaji wa nusu-kiwango (semiparametric) kwa data ya muda wa kuishi ambapo aina mbili au zaidi za matukio yasiyoweza kutokea pamoja hushindana kutokea kwanza. Uliopendekezwa na Fine na Gray mwaka 1999, unaunda hatari ya chini (subdistribution hazard) ya kila aina ya tukio moja kwa moja, ukiruhusu vigezo (covariates) kuunganishwa na utendaji wa mkusanyiko wa matukio (cumulative incidence function - CIF) — kitu ambacho kwa kweli hujibu 'ni uwezekano gani wa kukumbana na tukio la aina k kufikia wakati t?'. Unarekebisha upungufu unaojulikana wa urejeshaji wa kawaida wa Cox, ambao hupuuza matukio yanayoshindana na hivyo kuongeza kupita kiasi uwezekano maalum wa sababu.

Tumia kupitia StatMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

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. Fine, J.P. & Gray, R.J. (1999). A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association, 94(446), 496–509. DOI: 10.1080/01621459.1999.10474144
  2. Austin, P.C. et al. (2016). Introduction to the Analysis of Survival Data in the Presence of Competing Risks. Circulation, 133(6), 601–609. DOI: 10.1161/CIRCULATIONAHA.115.017719

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Fine-Gray Proportional Subdistribution Hazards Model. ScholarGate. https://scholargate.app/sw/statistics/fine-gray-competing-risks

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

Imerejelewa na

ScholarGateFine-Gray Competing Risks Model (Fine-Gray Proportional Subdistribution Hazards Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/fine-gray-competing-risks · Seti ya data: https://doi.org/10.5281/zenodo.20539026