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Comparison of multiple hazard rate functions

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  • Zhongxue Chen
  • Hanwen Huang
  • Peihua Qiu

Abstract

type="main" xml:lang="en"> Many robust tests have been proposed in the literature to compare two hazard rate functions, however, very few of them can be used in cases when there are multiple hazard rate functions to be compared. In this article, we propose an approach for detecting the difference among multiple hazard rate functions. Through a simulation study and a real-data application, we show that the new method is robust and powerful in many situations, compared with some commonly used tests.

Suggested Citation

  • Zhongxue Chen & Hanwen Huang & Peihua Qiu, 2016. "Comparison of multiple hazard rate functions," Biometrics, The International Biometric Society, vol. 72(1), pages 39-45, March.
    • Handle: RePEc:bla:biomet:v:72:y:2016:i:1:p:39-45
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    Cited by:

    1. Marc Ditzhaus & Jon Genuneit & Arnold Janssen & Markus Pauly, 2023. "CASANOVA: Permutation inference in factorial survival designs," Biometrics, The International Biometric Society, vol. 79(1), pages 203-215, March.
    2. Mathew, Litty & P., Anisha & Kattumannil, Sudheesh K., 2022. "A jackknife empirical likelihood ratio test for strong mean inactivity time order," Statistics & Probability Letters, Elsevier, vol. 190(C).
    3. Kayoung Park & Peihua Qiu, 2018. "Evaluation of the treatment time-lag effect for survival data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 24(2), pages 310-327, April.

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