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नेल्सन-एलेन संचयी संकट अनुमानक×समूहबद्ध उत्तरजीविता डेटा के लिए साझा दुर्बलता मॉडल×
क्षेत्रउत्तरजीविताउत्तरजीविता
परिवारSurvival analysisSurvival analysis
उद्भव वर्ष19721979
प्रवर्तकWayne Nelson & Odd AalenVaupel, J.W., Manton, K.G. & Stallard, E.
प्रकारNon-parametric cumulative hazard estimatorRandom effects survival model
मौलिक स्रोतNelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966. DOI ↗Vaupel, J.W., Manton, K.G. & Stallard, E. (1979). The Impact of Heterogeneity in Individual Frailty on the Dynamics of Mortality. Demography, 16(3), 439–454. DOI ↗
उपनामNelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisishared frailty model, random effects survival model, Frailty Modeli (Paylaşılan Kırılganlık)
संबंधित53
सारांशThe Nelson-Aalen estimator is a non-parametric estimator of the cumulative hazard function from right-censored time-to-event data. Developed by Wayne Nelson for reliability hazard plotting in 1972 and placed on a rigorous counting-process foundation by Odd Aalen in 1978, it accumulates the ratio of observed events to the number at risk at each event time, providing the natural hazard-scale companion to the Kaplan-Meier survival curve.The shared frailty model, introduced by Vaupel, Manton, and Stallard in 1979, extends standard survival regression by incorporating a random effect — the 'frailty' — that captures unobserved heterogeneity among subjects or clusters. When survival outcomes are measured on individuals who share a common environment (patients in the same hospital, members of the same family, animals in the same litter), a frailty term accounts for the within-cluster dependence that ordinary Cox regression ignores.
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