Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study

• Petr PHILONENKO, Ph.D. in Computer Science;

• Sergey POSTOVALOV, D.Sc. in Computer Science.

The paper can be downloaded here.

About

This dataset is a supplement to the github repositiry and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning. The problem statement can be formualted as H0: S1(t)=S2(t) versus H: S1(t)≠S_2(t) where S1(t) and S2(t) are survival functions of samples X1 and X2.

This dataset contains the synthetic data simulated by the Monte Carlo method and Inverse Transform Sampling.