A Note on Factor Analysis Applied in Medical Research

K. Bhuyan
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引用次数: 7

Abstract

The empirical analysis of the data observed in the field of medical science is based on some qualitative as well as quantitative character. But some of the characters are common with other characters of human being. For example, diabetes depends on age, height, weight, food habit, income, occupation, etc. In some studies, in both home and abroad, it was observed that body mass index (BMI) or in other words, higher level of obesity is one of the responsible factors for diabetes [1-6]. But BMI is a character which is measured using the character weight and height and level of obesity is decided using the level of BMI. Hence level of obesity is a common character among the characters height, weight, and BMI. Therefore, to study the impact of height and weight on diabetes, it is better to study the impact of BMI on diabetes. The statistical tool to select such a character among many characters is known as factor analysis.
因子分析在医学研究中的应用
对医学领域观察到的数据的实证分析是基于一些定性和定量的特征。但其中一些人物与人类的其他人物是共同的。例如,糖尿病取决于年龄、身高、体重、饮食习惯、收入、职业等。在国内外的一些研究中,发现体重指数(BMI)或换句话说,较高的肥胖水平是导致糖尿病的因素之一[1-6]。但BMI是一个用体重和身高来衡量的特征,肥胖程度是用BMI水平来决定的。因此,肥胖程度是身高、体重和BMI特征中的一个常见特征。因此,要研究身高和体重对糖尿病的影响,最好研究BMI对糖尿病的作用。在许多字符中选择这样一个字符的统计工具被称为因子分析。
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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