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  # About
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  This dataset is a supplement to the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting) and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning.
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- The problem statement can be formualted as $H_0: S_1(t) = S_2(t)$ versus $H: S_1(t) \neq S_2(t)$ where $S_1(t)$ and $S_2(t)$ are survival functions of samples $X_1$ and $X_2$.
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  # Repository
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  # About
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  This dataset is a supplement to the [github repositiry](https://github.com/pfilonenko/ML_for_TwoSampleTesting) and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning.
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+ 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.
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  # Repository
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