Joint forces for making clinical prediction models contribute to science

Junfeng Wang, Yue Li


Recently, the ATM journal has published a special report “In-depth mining of clinical data: the construction of clinical prediction model with R” (1), which is a series of methodology of clinical prediction model (CPM) construction. We read the 96 pages long article with great interest, especially because this is a statistical paper written by a group of clinicians. We are very glad to see clinicians are interested in statistics and predictive modelling, and they have reasonable knowledge in the development and validation of CPMs.

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