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scikit-survival

Sebastian Pölsterl

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

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sebp/scikit-survival-v0.10.zip
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