title: Regression with frailty in survival analysis.
abstract: In studies of survival, the hazard function for each individual may depend on observed risk variables but usually not all such variables are known or measurable. This unknown factor of the hazard function is usually termed the individual heterogeneity or frailty. When survival is time to the occurrence of a particular type of event and more than one such time may be obtained for each individual, frailty is a common factor among such recurrence times. A model including frailty is fitted to such repeated measures of recurrence times.
authors.affiliation: University of New South Wales, Kensington, Australia.
authors.forename: C A
authors.initials: CA
authors.lastname: McGilchrist
authors.forename: C W
authors.initials: CW
authors.lastname: Aisbett
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001699:Biometry; D002648:Child; D005260:Female; D006801:Humans; D007239:Infections / Q000209:etiology; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D016016:Proportional Hazards Models; D012044:Regression Analysis; D006435:Renal Dialysis / Q000009:adverse effects; D016019:Survival Analysis