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Various methods have been developed to estimate BA, each with its unique approach and criteria:{{pmid|28546743}} | Various methods have been developed to estimate BA, each with its unique approach and criteria:{{pmid|28546743}} | ||
* '''Multiple Linear Regression (MLR)''' is a statistical technique that estimates BA by relating several independent variables (biomarkers) to a dependent variable (CA). In this method, CA is used as a criterion for selecting biomarkers and is treated as an independent index. | * '''Multiple Linear Regression (MLR)''' is a statistical technique that estimates BA by relating several independent variables (biomarkers) to a dependent variable (CA). In this method, CA is used as a criterion for selecting biomarkers and is treated as an independent index.{{pmid|5841151}}{{pmid|17889950}}{{pmid|11708217}} | ||
* '''Principal Component Analysis (PCA)''' is another statistical technique used in BA estimation. PCA reduces the dimensionality of the data by transforming multiple biomarkers into a set of linearly uncorrelated variables, known as principal components. | * '''Principal Component Analysis (PCA)''' is another statistical technique used in BA estimation. PCA reduces the dimensionality of the data by transforming multiple biomarkers into a set of linearly uncorrelated variables, known as principal components. | ||
* '''Hochschild’s Method''' differs from MLR and PCA by making CA an independent variable. It aims to estimate BA by adjusting CA based on specific biomarkers. | * '''Hochschild’s Method''' differs from MLR and PCA by making CA an independent variable. It aims to estimate BA by adjusting CA based on specific biomarkers. |