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* '''Klemera and Doubal’s Method (KDM)''' shares a similar concept with Hochschild’s method but uses a more complex statistical approach. It treats CA as an independent variable and incorporates multiple biomarkers to estimate BA. | * '''Klemera and Doubal’s Method (KDM)''' shares a similar concept with Hochschild’s method but uses a more complex statistical approach. It treats CA as an independent variable and incorporates multiple biomarkers to estimate BA. | ||
=== Role of Chronological Age === | |||
The role of Chronological Age (CA) in the estimation of Biological Age (BA) varies significantly between different methods. In MLR and PCA, CA is used as a criterion for selecting biomarkers. This means that the biomarkers are chosen based on how well they correlate with CA. In this context, CA is not an independent variable in the statistical model but rather a reference point against which the predictive power of biomarkers is measured. | |||
In contrast, Hochschild’s method and KDM treat CA as an independent variable. This means CA is directly incorporated into the model as one of the variables that predict BA. | |||
=== Comparison === | |||
Comparisons among MLR, PCA, Hochschild’s method, and KDM | Comparisons among MLR, PCA, Hochschild’s method, and KDM | ||
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* The calculation of KDM is complicated{{pmid|20005245}} | * The calculation of KDM is complicated{{pmid|20005245}} | ||
|} | |} | ||
== Further Reading == | == Further Reading == |