1. Statistical strategies and stochastic predictive models for the MARK-AGE data
- Author
-
Enrico Giampieri, Daniel Remondini, Claudia Sala, Claudio Franceschi, Chiara Pirazzini, Cristina Giuliani, Miriam Capri, Maria Giulia Bacalini, Paolo Garagnani, Alexander Bürkle, Isabella Zironi, Giulia Menichetti, Stella Lukas Yani, Gastone Castellani, Giampieri, Enrico, Remondini, Daniel, Bacalini, Maria Giulia, Garagnani, Paolo, Pirazzini, Chiara, Yani, Stella Luka, Giuliani, Cristina, Menichetti, Giulia, Zironi, Isabella, Sala, Claudia, Capri, Miriam, Franceschi, Claudio, Bürkle, Alexander, and Castellani, Gastone
- Subjects
Male ,Aging ,Databases, Factual ,Computer science ,Biological age ,Biomarkers, Biological age, Chronological age, Statistics models, MARK-AGE ,Overfitting ,Machine learning ,computer.software_genre ,03 medical and health sciences ,0302 clinical medicine ,ddc:570 ,Humans ,Statistical analysis ,Organism ,030304 developmental biology ,Structure (mathematical logic) ,Electronic Data Processing ,Stochastic Processes ,0303 health sciences ,Statistics model ,business.industry ,Chronological age ,Biomarker ,Models, Theoretical ,MARK-AGE ,Ageing ,Female ,Identification (biology) ,Functional status ,Special care ,Artificial intelligence ,business ,computer ,030217 neurology & neurosurgery ,Developmental Biology - 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
- Published
- 2015