The use of finite mixture models to estimate the distribution of the health utilities index in the presence of a ceiling effect
The use of finite mixture models to estimate the distribution of the health utilities index in the presence of a ceiling effect
复制标题
DOI：
10.1080/0266476032000075985
复制
发表时间：
2003-10-01
影响因子：
1.5
通讯作者：
Escobar, MD
中科院分区：
文献类型：
--
作者：
Austin, PC;Escobar, MD
有限混合模型是一种灵活的参数模型，允许将复杂的概率分布描述为少量简单概率分布的混合。健康状况的测量通常用于反映一个人的整体健康状况。这些措施可能会受到上限效应的影响，因为该措施无法辨别超过上限的健康状况等级。本文的目的是说明使用有限的混合模型来描述的概率分布的卫生公用事业指数，假设HUI受到天花板效应。混合模型的两个到六个组件是适合的HUI。贝叶斯因子被用来比较的证据表明，加拿大人口的非制度化的居民是由四个不同的亚群，并要求描述这四个亚群的混合物的六个正常成分。
Finite mixture models are flexible parametric models that allow one to describe complex probability distributions as a mixture of a small number of simple probability distributions. Measures of health status are often used to reflect a person's overall health. Such measures may be subject to a ceiling effect, in that the measure is unable to discern gradations in health status above the ceiling. The purpose of this paper is to illustrate the use of finite mixture models to describe the probability distribution of the Health Utilities Index, under the assumption that the HUI is subject to a ceiling effect. Mixture models with two through six components are fit to the HUI. Bayes factors were used to compare the evidence that the Canadian population of non-institutionalized residents is composed of four distinct subpopulations, and that a mixture of six Normal components is required to describe these four subpopulations.