Clinical prediction model construction and evaluation: a challenge for clinical researchers
In a recent issue of Annals of Translational Medicine, Zhou et al. comprehensively introduced the concept and applications of the clinical prediction model, as well as the methods and procedures of model construction (1). Some interesting and valuable statistical methods were introduced, such as nomogram, decision curve analysis (DCA), net reclassification index (NRI) and integrated discrimination index (IDI), and their R code was described in a step-by- step way. Undoubtedly, this special report provides a crucial guideline for researchers who are interested in the clinical model. The statistical aspects of the clinical prediction model have been clearly and comprehensively described in this special report. Here, I present some perspectives from clinical aspects.