• J Eval Clin Pract · Aug 2018

    Visualizing the quantile survival time difference curve.

    • Harald Heinzl and Martina Mittlboeck.
    • Section for Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
    • J Eval Clin Pract. 2018 Aug 1; 24 (4): 708-712.

    AbstractThe difference between the pth quantiles of 2 survival functions can be used to compare patients' survival between 2 therapies. Setting p = 0.5 yields the median survival time difference. Varying p between 0 and 1 defines the quantile survival time difference curve which can be straightforwardly estimated by the horizontal differences between 2 Kaplan-Meier curves. The estimate's variability can be visualized by adding either a bundle of resampled bootstrap step functions or, alternatively, approximate bootstrap confidence bands. The user-friendly SAS software macro %kmdiff enables the straightforward application of this exploratory graphical approach. The macro is described, and its application is exemplified with breast cancer data. The advantages and limitations of the approach are discussed.© 2018 The Authors Journal of Evaluation in Clinical Practice Published by John Wiley & Sons Ltd.

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