Statistical strategies and stochastic predictive models for the MARK-AGE data
详细信息 查看全文
- 作者：Enrico Giampierib ; e ; enrico.giampieri@unibo.it" class="auth_mail" title="E-mail the corresponding author ; Daniel Remondinib ; e ; Maria Giulia Bacalinia ; b ; Paolo Garagnania ; b ; Chiara Pirazzinia ; b ; Stella Lukas Yania ; b ; c ; Cristina Giuliania ; b ; Giulia Menichettib ; e ; Isabella Zironib ; e ; Claudia Salab ; e ; Miriam Capria ; b ; Claudio Franceschia ; b ; Alexander Bü ; rkled ; Gastone Castellanib ; e
- 关键词：Biomarkers ; Biological age ; Chronological age ; Statistics models ; MARK-AGE
- 刊名：Mechanisms of Ageing and Development
- 出版年：2015
- 出版时间：November 2015
- 年：2015
- 卷：151
- 期：Complete
- 页码：45-53
- 全文大小：1079 K
文摘
- •
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 in the prediction.
- •
Bayesian methods that allow to include prior medical knowledge should be preferred.