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

Citations of this article
Mendeley users who have this article in their library.


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:.




Giampieri, E., Remondini, D., Bacalini, M. G., Garagnani, P., Pirazzini, C., Yani, S. L., … Castellani, G. (2015). Statistical strategies and stochastic predictive models for the MARK-AGE data. Mechanisms of Ageing and Development, 151, 45–53.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free