Biostatistics series module 10: Brief overview of multivariate methods

• Published in: Indian journal of dermatology Vol. 62; no. 4; pp. 358 - 366
• Main Authors: Hazra, Avijit, Gogtay, Nithya
• Format: Journal Article
• Language: English
• Published: India Medknow Publications & Media Pvt. Ltd 01.07.2017; Medknow Publications & Media Pvt Ltd; Wolters Kluwer Medknow Publications
• Subjects: Acne; Age; Cluster analysis; discriminant function analysis; factor analysis; Hypotheses; IJD; logistic regression; Module on Biostatistics and Research Methodology for the Dermatologist - Module Editor: Saumya Panda; multiple linear regression; Multivariate analysis; principal components analysis; Regression analysis; Software; Variables; Cluster analysis; factor analysis; discriminant function analysis; logistic regression; multivariate analysis; multiple linear regression; principal components analysis
• ISSN: 0019-5154; 1998-3611; 1998-3611
• DOI: 10.4103/ijd.IJD_296_17

Multivariate analysis refers to statistical techniques that simultaneously look at three or more variables in relation to the subjects under investigation with the aim of identifying or clarifying the relationships between them. These techniques have been broadly classified as dependence techniques,...