… CRR is a generalization of survival analysis … model. For each of the five most common causes
of death, we fit separate CRR models comparing the relative probabilities of death by frailty …

… included in the final model. To get a better insight into the frailty-mortality relationship
across … logistic regression analyses at each measurement wave, with frailty as independent …

… longevity in the context of frailty may help guide development of … frailty, and discuss the
possible intertwined biology of frailty … frailty are syndromic and cumulative deficit models of frailty. …

… Dose response meta-analysis between clinical frailty scale and mortality with restricted cubic
splines in a random-effects dose-response model. Solid line indicates odds ratio and long …

… Proportional hazards frailty models were used to assess factors associated with time to
dropout from recurrent MMT episodes at 3 (90 days) and 12 months (91-365 days). MMT …

… is the use of frailty models. In some applications, the survival data are spatially correlated.
In … risk sources in survival models is an important problem in survival analysis. However, in …

… —mortality at 1 month and at 6 months was higher in patients classified as frail using the
FRAIL scale (15). The FRAIL scale has not yet been validated for German intensive care units. …

… The frailty model was created by including all candidate variables in a multivariate Cox
regression model for OS in the training cohort, removing variables in a backward stepwise …

… Second, we analyzed the probability of mortality during follow-up over 10years by using …
survival analysis, and the cumulative survival probability with Cox proportional hazard models …

… and meta-analysis of population-based studies reporting the prevalence of frailty and pre-frailty
published since the development of established frailty models, examining sources of …