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The Probability of Being in Response Function and Its Applications

In: Frontiers of Biostatistical Methods and Applications in Clinical Oncology

Author

Listed:
  • Wei Yann Tsai

    (Columbia University, Department of Biostatistics)

  • Xiaodong Luo

    (Sanofi, Research and Development)

  • John Crowley

    (Cancer Research and Biostatistics)

Abstract

Cancer clinical trials usually have two or more types of related clinical events (i.e. response, progression and relapse). Hence, to compare treatments, efficacy is often measured using composite endpoints. Temkin (Biometrics 34: 571–580, [18]) proposed the probability of being in response as a function of time (PBRF) to analyze composite endpoints. The PBRF is a measure which considers the response rate and the duration of response jointly. In this article, we develop, study and propose estimators of PBRF based on multi-state survival data.

Suggested Citation

  • Wei Yann Tsai & Xiaodong Luo & John Crowley, 2017. "The Probability of Being in Response Function and Its Applications," Springer Books, in: Shigeyuki Matsui & John Crowley (ed.), Frontiers of Biostatistical Methods and Applications in Clinical Oncology, pages 151-164, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-0126-0_10
    DOI: 10.1007/978-981-10-0126-0_10
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