arXiv stat.ML
· Papers
comprisk: A scikit-learn-compatible Python toolkit for competing-risks survival analysis
arXiv:2607.09431v1 Announce Type: cross Abstract: Medical time-to-event data are frequently subject to competing risks, where the occurrence of one terminal event precludes the others and standard survival methods that treat competing events as censoring yield biased absolute-risk estimates. Correct analysis instead ta