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Rank-based Models for Predicting Trauma-Related Organ Failure

Author

Listed:
  • Gregory M Constantine

    (Department of Mathematics and The McGowan Institute for Regenerative Medicine, University of Pittsburgh, USA)

  • Marius G Buliga

    (Department of Mathematics and Statistics, University of Pittsburgh-Bradford, USA)

  • Rodica RA Constantine

    (Department of Psychology, University of Nevada, Las Vegas, USA)

  • Yoram Vodovotz PhD
  • Rami A Namas MD
  • Timothy R Billiar MD

    (Center for Inflammation and Regenerative modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, USA
    Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, USA)

Abstract

In this study, diagnostic nonparametric tests based on rank-sums of biomarkers and clinical variables...

Suggested Citation

  • Gregory M Constantine & Marius G Buliga & Rodica RA Constantine & Yoram Vodovotz PhD & Rami A Namas MD & Timothy R Billiar MD, 2022. "Rank-based Models for Predicting Trauma-Related Organ Failure," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 44(2), pages 35283-35287, May.
    • Handle: RePEc:abf:journl:v:44:y:2022:i:2:p:35283-35287
    DOI: 10.26717/BJSTR.2022.44.007014
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    References listed on IDEAS

    as
    1. Rebecca Graziani & Michele Guindani & Peter F. Thall, 2015. "Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome," Biometrics, The International Biometric Society, vol. 71(1), pages 188-197, March.
    2. Stuart G. Baker, 2000. "Identifying Combinations of Cancer Markers for Further Study as Triggers of Early Intervention," Biometrics, The International Biometric Society, vol. 56(4), pages 1082-1087, December.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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