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Nonparametric estimation of the ROC curve for length-biased and right-censored data

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  • Shanshan Song
  • Yong Zhou

Abstract

ROC curve is a fundamental evaluation tool in medical researches and survival analysis. The estimation of ROC curve has been studied extensively with complete data and right-censored survival data. However, these methods are not suitable to analyze the length-biased and right-censored data. Since this kind of data includes the auxiliary information that truncation time and residual time share the same distribution, the two new estimators for the ROC curve are proposed by taking into account this auxiliary information to improve estimation efficiency. Numerical simulation studies with different assumed cases and real data analysis are conducted.

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  • Shanshan Song & Yong Zhou, 2020. "Nonparametric estimation of the ROC curve for length-biased and right-censored data," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(19), pages 4648-4668, October.
    • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:19:p:4648-4668
    DOI: 10.1080/03610926.2019.1604963
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