analysis. The Kaplan–Meier survival estimators, Cox proportional hazard model, and frailty model were used to study the …

Frailty models are the possible choice to counter the problem of the unobserved heterogeneity in individual risks of … disease and death. Based on earlier studies, shared frailty models can be utilised in the analysis of bivariate data related … to survival times (e.g. matched pairs experiments, twin or family data). In this article, we assume that frailty acts …

factors with frailty among older adults using a large, nationally representative cohort of community-dwelling Chinese sample … the association between risk factors and frailty and further calculated the absolute risk difference for the statistically … status as measured by educational attainment and neighborhood quality may increase the risk of late-life frailty among …

In survival analysis a large literature using frailty models, or models with unobserved heterogeneity, exist. In the … proportional hazard structure. First, the aspects of frailty modeling in univariate (proportional hazard, Cox) duration models are …

covariates, which can be tackled using frailty models. The best models were usually being identified using Akaike information … measure. Methods: CPH model and frailty models were used to estimate the risk for breast cancer patient survival, and the … frailty variable was assumed to follow gamma distribution. Schoenfeld global test was used to check the proportionality …

We analyze portfolio credit risk in light of dynamic “frailty,” by which the credit qualities of different firms depend … on common unobservable time-varying default covariates. Frailty is estimated to have a large impact on estimated …