Statistical strategies and stochastic predictive models for the MARK-AGE data

•The MARK-AGE project aims to develop a prediction model for the biological age.•A proper analysis pipeline is discussed in the light of the state of art.•It is fundamental to use robust estimators that acknowledge the structure of the data.•A train-test split division is necessary to avoid biases i...

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Bibliographic Details
Published in:	Mechanisms of ageing and development Vol. 151; pp. 45 - 53
Main Authors:	Giampieri, Enrico, Remondini, Daniel, Bacalini, Maria Giulia, Garagnani, Paolo, Pirazzini, Chiara, Yani, Stella Lukas, Giuliani, Cristina, Menichetti, Giulia, Zironi, Isabella, Sala, Claudia, Capri, Miriam, Franceschi, Claudio, Bürkle, Alexander, Castellani, Gastone
Format:	Journal Article
Language:	English
Published:	Ireland Elsevier Ireland Ltd 01.11.2015
Subjects:	Aging Automatic Data Processing - methods Biological age Biomarkers Chronological age Databases, Factual Female Humans Male MARK-AGE Models, Theoretical Statistics models Stochastic Processes Biomarkers Biological age MARK-AGE Statistics models Chronological age
ISSN:	0047-6374, 1872-6216, 1872-6216
Online Access:	Get full text
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