33 citations · 49 across the 6 of their papers we have counts for
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stat.ME2019
A kernel log-rank test of independence for right-censored data
Tamara Fernandez, Arthur Gretton, David Rindt +1
We introduce a general non-parametric independence test between right-censored survival times and covariates, which may be multivariate. Our test statistic has a dual interpretatio…
stat.ME2019
A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
Tamara Fernandez, Nicolas Rivera
Weighted log-rank tests are arguably the most widely used tests by practitioners for the two-sample problem in the context of right-censored data. Many approaches have been conside…
stat.ME2018★ 8 cited
A maximum-mean-discrepancy goodness-of-fit test for censored data
Tamara Fernández, Arthur Gretton
We introduce a kernel-based goodness-of-fit test for censored data, where observations may be missing in random time intervals: a common occurrence in clinical trials and industria…