Correlation analysis is a statistical method used to evaluate the strength of relationship between two quantitative variables. A high correlation means that two or more variables have a strong relationship with each other, while a weak correlation means that the variables are hardly related. In other words, it is the process of studying the strength of that relationship with available statistical data. This technique is strictly connected to the linear regression analysis that is a statistical approach for modeling the association between a dependent variable, called response, and one or more explanatory or independent variables. The aim of this work is to provide a general overview of correlation analysis in order to apply it to biomedical applications.

Correlation analysis

Iuliano A.
2018-01-01

Abstract

Correlation analysis is a statistical method used to evaluate the strength of relationship between two quantitative variables. A high correlation means that two or more variables have a strong relationship with each other, while a weak correlation means that the variables are hardly related. In other words, it is the process of studying the strength of that relationship with available statistical data. This technique is strictly connected to the linear regression analysis that is a statistical approach for modeling the association between a dependent variable, called response, and one or more explanatory or independent variables. The aim of this work is to provide a general overview of correlation analysis in order to apply it to biomedical applications.
2018
9780128114322
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/153064
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