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Simplified k-sample nonparametric hypothesis tests for quantile residual event times

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  • Provost, Nathan T.
  • Wahed, Abdus S.

Abstract

We present an approachable multi-sample hypothesis testing procedure for examining potential differences in quantile residual event times across an arbitrary number of groups. Moreover, an ancillary testing procedure that allows for the identification of group-specific significance with respect to a prespecified baseline group is also provided. Our simulations yield desirable power and type I error results when the chosen sample sizes accommodate the extremity of selected baseline values and quantiles of interest.

Suggested Citation

  • Provost, Nathan T. & Wahed, Abdus S., 2025. "Simplified k-sample nonparametric hypothesis tests for quantile residual event times," Statistics & Probability Letters, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:stapro:v:225:y:2025:i:c:s0167715225001087
    DOI: 10.1016/j.spl.2025.110463
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    References listed on IDEAS

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    1. Jong-Hyeon Jeong & Sin-Ho Jung & Joseph P. Costantino, 2008. "Nonparametric Inference on Median Residual Life Function," Biometrics, The International Biometric Society, vol. 64(1), pages 157-163, March.
    2. Yimeng Liu & Liwen Wu & Gong Tang & Abdus S. Wahed, 2023. "A series of two-sample non-parametric tests for quantile residual life time," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(1), pages 234-252, January.
    3. Sin-Ho Jung & Jong-Hyeon Jeong & Hanna Bandos, 2009. "Regression on Quantile Residual Life," Biometrics, The International Biometric Society, vol. 65(4), pages 1203-1212, December.
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