title: Generalizations and applications of frailty models for survival and event data.
abstract: A variety of survival models with both discrete and continuously distributed frailty is considered within a framework that involves the specification of three sub-models. An intensity sub-model specifies how the intensity is related to values of covariates and frailty; a measurement sub-model specifies how fallible measures of frailty are related to it; and an exposure sub-model specifies how frailty is distributed within the population. The models include those in which frailty is due to omitted covariates and those where it represents a covariate that has been measured subject to error. Multivariate frailty is also considered, with particular emphasis on models suitable for application to genetically related individuals, notably twins. A numerical example illustrates the use of a model with multivariate frailty for data on repeated exercise times.
authors: Institute of Psychiatry, London, UK.
authors: A
authors: A
authors: Pickles
authors: R
authors: R
authors: Crouchley
mesh_terms: D000787:Angina Pectoris / Q000188:drug therapy; D004198:Disease Susceptibility; D005081:Exercise Therapy; D005221:Fatigue / Q000209:etiology; D006304:Health Status; D006801:Humans; D007548:Isosorbide Dinitrate / Q000627:therapeutic use; D016013:Likelihood Functions; D015233:Models, Statistical; D015999:Multivariate Analysis; D018570:Risk Assessment; D016019:Survival Analysis; D013997:Time Factors
chemical_list: D007548:Isosorbide Dinitrate