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Cox regression model is a popular tool in survival analysis, whose aim is to quantify the impact of covariates on the survival times. The relevance of the coefficients is usually tested through a parametric test. However, the properties of this test are only asymptotical and can show a slow convergence to the nominal level. We propose a different approach to perform the test based on sign-flipping of the score contributions. We have defined two alternatives which show a faster convergence to the nominal level of the test.

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Sign-Flip Test for the Cox Regression Model

  • 会议论文

  • 发表日期：

    2025年

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  • Riccardo De Santis,
  • Jelle J. Goeman,
  • Hein Putter,
  • Livio Finos

摘要

Cox regression model is a popular tool in survival analysis, whose aim is to quantify the impact of covariates on the survival times. The relevance of the coefficients is usually tested through a parametric test. However, the properties of this test are only asymptotical and can show a slow convergence to the nominal level. We propose a different approach to perform the test based on sign-flipping of the score contributions. We have defined two alternatives which show a faster convergence to the nominal level of the test.