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Validation of a longitudinally measured surrogate marker for a time-to-event endpoint

Author

Listed:
  • Didier Renard
  • Helena Geys
  • Geert Molenberghs
  • Tomasz Burzykowski
  • Marc Buyse
  • Tony Vangeneugden
  • Luc Bijnens

Abstract

The objective of this paper is to extend the surrogate endpoint validation methodology proposed by Buyse et al. (2000) to the case of a longitudinally measured surrogate marker when the endpoint of interest is time to some key clinical event. A joint model for longitudinal and event time data is required. To this end, the model formulation of Henderson et al. (2000) is adopted. The methodology is applied to a set of two randomized clinical trials in advanced prostate cancer to evaluate the usefulness of prostate-specific antigen (PSA) level as a surrogate for survival.

Suggested Citation

  • Didier Renard & Helena Geys & Geert Molenberghs & Tomasz Burzykowski & Marc Buyse & Tony Vangeneugden & Luc Bijnens, 2003. "Validation of a longitudinally measured surrogate marker for a time-to-event endpoint," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(2), pages 235-247.
    • Handle: RePEc:taf:japsta:v:30:y:2003:i:2:p:235-247
    DOI: 10.1080/0266476022000023776
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    Cited by:

    1. Renfro, Lindsay A. & Shi, Qian & Xue, Yuan & Li, Junlong & Shang, Hongwei & Sargent, Daniel J., 2014. "Center-within-trial versus trial-level evaluation of surrogate endpoints," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 1-20.
    2. Emily K. Roberts & Michael R. Elliott & Jeremy M. G. Taylor, 2023. "Solutions for surrogacy validation with longitudinal outcomes for a gene therapy," Biometrics, The International Biometric Society, vol. 79(3), pages 1840-1852, September.
    3. Denis Agniel & Layla Parast, 2021. "Evaluation of longitudinal surrogate markers," Biometrics, The International Biometric Society, vol. 77(2), pages 477-489, June.
    4. Lisa M. McCrink & Adele H. Marshall & Karen J. Cairns, 2013. "Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients," International Statistical Review, International Statistical Institute, vol. 81(2), pages 249-269, August.

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