HIGHLIGHTS
- who: Krithika Suresh from the Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, USA have published the Article: Survival prediction models: an , in the Journal: (JOURNAL)
- what: Using time-dependent performance metrics that account for censoring the authors compare the predictions from parametric and machine learning classification approaches applied within the discrete time-to-event framework to those from continuous-time survival prediction models. Using publicly available data sets the authors show that some discrete-time prediction models achieve better prediction performance than the continuous-time Cox proportional hazards model. The authors . . .
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