文章基本信息

标题：Factor Analysis as a tool for Pattern Recognition in biomedical research; a review with application in R software
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作者：Dimitris Panaretos ; George Tzavelas ; Malvina Vamvakari 等
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2017
卷号：15
期号：4
页码：615-630
出版社：Tingmao Publish Company
摘要：Factor Analysis is one of the data mining methods that can be used to analyse, mainly large-scale, multi-variable datasets. The main objective of this method is to derive a set of uncorrelated variables for further analysis when the use of highly inter-correlated variables may givemisleading results in regression analysis. In the light of the vast and broad advances that have occurred in factor analysis due largely to the advent of electronic computers, this article attempt to provide researchers with asimplified approach to comprehend how exploratory factors analysis work,and to provide a guide of application using R. This multivariate mathematical method is an important tool which very often used in the development and evaluation of tests and measures that can be used in biomedical research. The paper comes to the conclusion that the factor analysis is a proper method used in biomedical research, just because clinical readers can better interpret and evaluate their goal and results.
关键词：biostatistics; exploratory factor analysis; multivariate analysis; pattern analysis; R programming language