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Frailty selection in bivariate survival models: A cautionary note
Mathematical Population Studies ( IF 1.4 ) Pub Date : 1994-06-01 , DOI: 10.1080/08898489409525377
Lorenzo Moreno

"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)

中文翻译:

双变量生存模型中的脆弱性选择:警告

“研究人员在分析相关个体群体的生存时间时面临的一个问题是选择如何指定脆弱性的分布——一种未观察到(或未充分观察到)的随机因素。一些分布受到了关注——例如,伽马分布和非参数 N 点离散概率分布。研究人员选择这些分布更多是为了数学上的方便,而不是它们代表生物、社会或经济现实的能力,以及选择一种虚弱的函数表示而不是替代的含义选择还没有被广泛研究......本研究论文探讨了伽马分布、逆高斯分布、非参数 N 点和泊松分布下的生存时间之间的关联。它表明这种关联的模式和强度取决于如何指定虚弱的分布。”(SUMMARY IN FRE)
更新日期:1994-06-01
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