Seo Young Park|Ji Eun Park|Hyungjin Kim|Seong Ho Park
Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches)
Korea National Open University|University of Ulsan|Asan Medical Center|Ulsan College|Seoul National University Hospital|University of Ulsan|Asan Medical Center|Ulsan College
recent introduction various highdimensional modeling methods radiomics deep learning created much greater diversity modeling approaches survival prediction generally timetoevent prediction newness recent modeling approaches unfamiliarity model outputs may confuse researchers practitioners evaluation performance models methodological literacy critically appraise performance evaluation models ideally ability conduct evaluation would needed want develop models apply practice article intends provide intuitive conceptual practical explanations statistical methods evaluating performance survival prediction models minimal usage mathematical descriptions covers conventional deep learning methods emphasis placed recent modeling approaches review article includes straightforward explanations c indices harrells c index etc timedependent receiver operating characteristic curve analysis calibration plot methods evaluating calibration performance brier score