Data depth for mixed-type data through MDS. An application to biological age imputation

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences Pub Date : 2024-12-24 DOI:10.1016/j.seps.2024.102140

Ignacio Cascos, Aurea Grané, Jingye Qian

引用次数: 0

Abstract

For a mixed-type dataset, we propose a new procedure to assess the quality of an observation as a central tendency. Next, we apply this technique to valuate the functional condition of a human organism in terms of its biological age, which is based on biomarkers, medical conditions, life habits, and sociodemographic variables. These records are of mixed type since they are made up by numerical and categorical variables. In order to evaluate the centrality of an observation in a mixed-type dataset, we obtain a Multidimensional Scaling representation and use some classical notion of multivariate data depth in an appropriate space. The biological age of an individual is finally assessed in terms of the age that would make it as deep as possible with respect to a sample of individuals of a similar age subject to it retaining all other features unchanged.

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通过MDS实现混合类型数据的数据深度。生物年龄推算的应用

对于混合类型的数据集，我们提出了一种新的程序来评估作为集中趋势的观测质量。接下来，我们应用该技术根据生物年龄来评估人类有机体的功能状况，生物年龄基于生物标志物、医疗条件、生活习惯和社会人口变量。这些记录是混合类型的，因为它们由数值变量和分类变量组成。为了评估混合类型数据集中观测值的中心性，我们获得了多维尺度表示，并在适当的空间中使用了一些经典的多变量数据深度概念。一个人的生物年龄最终是根据年龄来评估的，这个年龄将使它尽可能深地相对于一个相似年龄的个体样本，并且保持所有其他特征不变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

9.40

自引率

13.10%

发文量

294

审稿时长

58 days

期刊介绍： Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.