title: Frailty selection in bivariate survival models:  a cautionary note.
abstract: "One problem that researchers face in analyzing the survival times of groups of related individuals is selecting how the distribution of frailty--an unobserved (or not adequately observed) random factor--should be specified.  Several distributions have received attention--for instance, the gamma distribution and a nonparametric N-point, discrete probability distribution.  Researchers have selected these distributions more for mathematical convenience than for their ability to represent biological, social, or economic reality, and the implications of choosing one functional representation of frailty over alternative choices have not been studied extensively.... This research paper explores the association among survival times under gamma, inverse Gaussian, nonparametric N-point, and Poisson distributions.  It shows that the pattern and strength of this association depends on how the distribution of frailty is specified." (SUMMARY IN FRE)
mesh_terms: D003710:Demography; D005191:Family Characteristics; D007398:Interpersonal Relations; D015993:Life Tables; D008136:Longevity; D008962:Models, Theoretical; D009026:Mortality; D011153:Population; D011157:Population Dynamics; D011336:Probability; D012106:Research; D013223:Statistics as Topic; D015996:Survival Rate; D013997:Time Factors
keywords: Demographic Analysis; Demographic Factors; Family And Household; Friends And Relatives; Length Of Life; Life Table Method; Mathematical Model; Models, Theoretical; Mortality; Population; Population Dynamics; Probability; Research Methodology; Statistical Studies; Studies; Survivorship; Time Factors; World