@article{ATM34809,
author = {Giuliana Cortese},
title = {How to use statistical models and methods for clinical prediction},
journal = {Annals of Translational Medicine},
volume = {8},
number = {4},
year = {2020},
keywords = {},
abstract = {One of the main aims of statistics is to control and model variability in observed phenomena. A second important aim is to translate the results of such modelling into clinical decision-making, e.g., by constructing appropriate prediction models. Currently, model-based individualized predictions play an important role in the era of personalized medicine, where diagnosis and prognosis of a clinical outcome are based on a large number of observed clinical, individual and genetic characteristics (1).},
issn = {2305-5847}, url = {https://atm.amegroups.org/article/view/34809}
}