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A nonparametric approach to medical survival data: Uncertainty in the context of risk in mortality analysis

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  • Janurová, KateÅ™ina
  • BriÅ¡, Radim

Abstract

Medical survival right-censored data of about 850 patients are evaluated to analyze the uncertainty related to the risk of mortality on one hand and compare two basic surgery techniques in the context of risk of mortality on the other hand. Colorectal data come from patients who underwent colectomy in the University Hospital of Ostrava. Two basic surgery operating techniques are used for the colectomy: either traditional (open) or minimally invasive (laparoscopic). Basic question arising at the colectomy operation is, which type of operation to choose to guarantee longer overall survival time.

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  • Janurová, KateÅ™ina & BriÅ¡, Radim, 2014. "A nonparametric approach to medical survival data: Uncertainty in the context of risk in mortality analysis," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 145-152.
    • Handle: RePEc:eee:reensy:v:125:y:2014:i:c:p:145-152
    DOI: 10.1016/j.ress.2013.03.014
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    References listed on IDEAS

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    1. T A Maturi & P Coolen-Schrijner & F P A Coolen, 2010. "Nonparametric predictive inference for competing risks," Journal of Risk and Reliability, , vol. 224(1), pages 11-26, March.
    2. R.D. Gill, 1980. "Censoring and Stochastic Integrals," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 34(2), pages 124-124, June.
    3. F P A Coolen & A H Al-nefaiee, 2012. "Nonparametric predictive inference for failure times of systems with exchangeable components," Journal of Risk and Reliability, , vol. 226(3), pages 262-273, June.
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    Cited by:

    1. Coolen-Maturi, Tahani, 2014. "Nonparametric predictive pairwise comparison with competing risks," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 146-153.
    2. Starling, James K. & Mastrangelo, Christina & Choe, Youngjun, 2021. "Improving Weibull distribution estimation for generalized Type I censored data using modified SMOTE," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    3. Frank P. A. Coolen & Tahani Coolen-Maturi & Ali M. Y. Mahnashi, 2024. "Nonparametric Predictive Inference for Discrete Lifetime Data," Mathematics, MDPI, vol. 12(22), pages 1-14, November.

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