What’s new in 0.10#

scikit-survival 0.10 (2019-09-02)#

This release adds the ties argument to sksurv.linear_model.CoxPHSurvivalAnalysis to choose between Breslow’s and Efron’s likelihood in the presence of tied event times. Moreover, sksurv.compare.compare_survival() has been added, which implements the log-rank hypothesis test for comparing the survival function of 2 or more groups.

Enhancements#

  • Update API doc of predict function of boosting estimators (#75).

  • Clarify documentation for GradientBoostingSurvivalAnalysis (#78).

  • Implement Efron’s likelihood for handling tied event times.

  • Implement log-rank test for comparing survival curves.

  • Add support for scipy 1.3.1 (#66).

Bug fixes#