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A Non-Parametric Two-Sample Survival Test Based on a Single Occupancy Fermi-Dirac Model for the Discrete Range Distribution

In: Lifetime Data: Models in Reliability and Survival Analysis

Author

Listed:
  • Jimmy Thomas Efird

    (MGH/Harvard Cyclotron Laboratory
    MGH / Harvard Medical School, Department of Radiation Oncology Cox-302)

  • Francisco Pardo

    (MGH/Harvard Cyclotron Laboratory)

Abstract

A distribution-free test of survival difference based upon F.N. David’s range statistic is presented. The test is significantly more powerful, in comparison to traditional measures focusing on central tendency, when survival advantages appear toward the latter part of a randomized 2-arm study. A recursive formula is used to calculate the exact cumulative probabilities for the distribution.

Suggested Citation

  • Jimmy Thomas Efird & Francisco Pardo, 1996. "A Non-Parametric Two-Sample Survival Test Based on a Single Occupancy Fermi-Dirac Model for the Discrete Range Distribution," Springer Books, in: Nicholas P. Jewell & Alan C. Kimber & Mei-Ling Ting Lee & G. A. Whitmore (ed.), Lifetime Data: Models in Reliability and Survival Analysis, pages 93-97, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-5654-8_14
    DOI: 10.1007/978-1-4757-5654-8_14
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