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

Abstract:

:MARK-AGE aims at the identification of biomarkers of human aging capable of discriminating between the chronological age and the effective functional status of the organism. To achieve this, given the structure of the collected data, a proper statistical analysis has to be performed, as the structure of the data are non trivial and the number of features under study is near to the number of subjects used, requiring special care to avoid overfitting. Here we described some of the possible strategies suitable for this analysis. We also include a description of the main techniques used, to explain and justify the selected strategies. Among other possibilities, we suggest to model and analyze the data with a three step strategy.

journal_name

Mech Ageing Dev

authors

Giampieri E,Remondini D,Bacalini MG,Garagnani P,Pirazzini C,Yani SL,Giuliani C,Menichetti G,Zironi I,Sala C,Capri M,Franceschi C,Bürkle A,Castellani G

doi

10.1016/j.mad.2015.07.001

subject

Has Abstract

pub_date

2015-11-01 00:00:00

pages

45-53

eissn

0047-6374

issn

1872-6216

pii

S0047-6374(15)30002-6

journal_volume

151

pub_type

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