Journal article
Principal Component Analysis in Dental Research
The International journal of oral and maxillofacial implants, Vol.40(1), pp.13-20
02/07/2025
DOI: 10.11607/jomi.10940
PMID: 39928897
Abstract
Principal component analysis (PCA) is a statistical tool that condenses the information contained in a large group of independent variables to a more manageable number of variables. This is useful when performing an analysis on data sets with a large number of variables. PCA restructures the original independent variables into new variables called principal components that maximize the information present in the data. The principal components then act as a substitute for the independent variables in an analysis. The purpose of this article is to present PCA in an understandable way for researchers without advanced statistical and mathematical backgrounds. To solidify the comprehension of the process and provide a template for researchers, we present an extended step-by-step example of PCA in use on a fictitious peri-implantitis data set.Principal component analysis (PCA) is a statistical tool that condenses the information contained in a large group of independent variables to a more manageable number of variables. This is useful when performing an analysis on data sets with a large number of variables. PCA restructures the original independent variables into new variables called principal components that maximize the information present in the data. The principal components then act as a substitute for the independent variables in an analysis. The purpose of this article is to present PCA in an understandable way for researchers without advanced statistical and mathematical backgrounds. To solidify the comprehension of the process and provide a template for researchers, we present an extended step-by-step example of PCA in use on a fictitious peri-implantitis data set.
Details
- Title: Subtitle
- Principal Component Analysis in Dental Research
- Creators
- James C ThomasKyungsup ShinXian Jin Xie
- Resource Type
- Journal article
- Publication Details
- The International journal of oral and maxillofacial implants, Vol.40(1), pp.13-20
- DOI
- 10.11607/jomi.10940
- PMID
- 39928897
- NLM abbreviation
- Int J Oral Maxillofac Implants
- ISSN
- 1942-4434
- eISSN
- 1942-4434
- Publisher
- QUINTESSENCE PUBLISHING CO INC
- Language
- English
- Date published
- 02/07/2025
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Orthodontics; Biostatistics; Craniofacial Anomalies Research Center; Dental Research
- Record Identifier
- 9984791076402771
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