Abstract
The receiver operating characteristic (ROC) is predominantly used to assess the discriminant power of diagnostic tests. The present paper proposes this method as an additional alternative to compare survival data of in oncology or related fields. Survival data of brain tumors were analysed with conventional Kaplan-Meier method and ROC. The Area und the Curve (ROC-curve) gives additional illustrative information to distinguish between two therapeutic approaches and low or high grade brain tumors.
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References
Altman D. Practical Statistics for Medical Research. Chapman and Hall. NY 1991
Jensen K, Müller H-H, Schäfer H. Regional confidence bands for ROC curves. Statistics in Medicine 19: 493–509, 2000
Kalbfleisch JD, Prentice RL. The Statistical Analysis of Failure Time Data. J. Wiley, NY 1980
Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc 53: 457–481, 1958
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Koch, H.J., Hau, P. ROC analysis as an additional method to characterize time to event data. Pathol. Oncol. Res. 11, 50–52 (2005). https://doi.org/10.1007/BF03032406
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DOI: https://doi.org/10.1007/BF03032406