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A Nonparametric Test for Randomly Censored Data

Author

Listed:
  • Ayushee

    (Panjab University)

  • Narinder Kumar

    (Panjab University)

  • Manish Goyal

    (Kurukshetra University)

Abstract

A nonparametric test for the testing of scale parameters, is proposed in two-sample situation with random censored data. Random censored data are mostly encountered in clinical studies, where some individuals experience the event of interest (death); some are drop-outs or loss to follow-ups and some are still alive at the end of study. The performance of test is studied by comparing it with some existing tests in terms of asymptotic relative efficiency. Critical values required for the test are computed. Statistical power of the test is assessed through simulation study with varying sample sizes and varying censoring percentages. The working of test is illustrated by applying it to a real-life data set.

Suggested Citation

  • Ayushee & Narinder Kumar & Manish Goyal, 2024. "A Nonparametric Test for Randomly Censored Data," Annals of Data Science, Springer, vol. 11(6), pages 2059-2075, December.
    • Handle: RePEc:spr:aodasc:v:11:y:2024:i:6:d:10.1007_s40745-023-00500-5
    DOI: 10.1007/s40745-023-00500-5
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    References listed on IDEAS

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    1. Narinder Kumar & Manish Goyal, 2018. "A general class of non parametric tests for comparing scale parameters," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(24), pages 5956-5972, December.
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