How little data do we need for patient-level prediction?

Luis H. John, Jan A. Kors, Jenna M. Reps, Patrick B. Ryan, Peter R. Rijnbeek
2020 Zenodo  
This work provides guidance on sample size considerations for developing predictive models by empirically establishing the adequate sample size, which balances the competing objectives of improving model performance and reducing model complexity as well as computational requirements.
doi:10.5281/zenodo.3988939 fatcat:633lfr75dnfjzp7wl7hws3wpwq