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A Bayesian Approach To Biological Variation Analysis: Thomas Røraas, Sverre Sandberg, Aasne K. Aarsand, and Bård Støve by Biblioteca Virtual AMMG is a document available to read on EtoBox.

This study presents a Bayesian approach to analyzing biological variation (BV) that addresses issues with traditional statistical methods, such as sensitivity to noisy data and assumptions of homogeneity. The proposed models allow for heterogeneity in within-participant coefficients of variation and incorporate prior knowledge to enhance estimation accuracy. Results indicate that this Bayesian method can yield reliable estimates even with small datasets, making it a valuable tool for clinical applications i

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Biblioteca Virtual AMMG

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EN