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ROC Curves in Non-Parametric Location-Scale Regression Models

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  • GonzAlez-Manteiga, Wenceslao
  • Pardo-FernAndez, Juan Carlos
  • Van Keilegom, Ingrid

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Suggested Citation

  • GonzAlez-Manteiga, Wenceslao & Pardo-FernAndez, Juan Carlos & Van Keilegom, Ingrid, 2011. "ROC Curves in Non-Parametric Location-Scale Regression Models," LIDAM Reprints ISBA 2011010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Handle: RePEc:aiz:louvar:2011010
    Note: In : Scandinavian Journal of Statistics : theory and applications, vol. 38, no.1, p. 169-184 (2011)
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    Cited by:

    1. Vanda Inácio de Carvalho & Miguel de Carvalho & Adam J. Branscum, 2017. "Nonparametric Bayesian covariate‐adjusted estimation of the Youden index," Biometrics, The International Biometric Society, vol. 73(4), pages 1279-1288, December.
    2. Rodríguez-Álvarez, María Xosé & Roca-Pardiñas, Javier & Cadarso-Suárez, Carmen, 2011. "A new flexible direct ROC regression model: Application to the detection of cardiovascular risk factors by anthropometric measures," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3257-3270, December.
    3. Ana M. Bianco & Graciela Boente & Wenceslao González–Manteiga & Ana Pérez–González, 2023. "Estimators for ROC curves with missing biomarkers values and informative covariates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 931-956, September.
    4. Pardo-Fernandez, Juan Carlos & Rodriguez-alvarez, Maria Xose & Van Keilegom, Ingrid, 2013. "A review on ROC curves in the presence of covariates," LIDAM Discussion Papers ISBA 2013050, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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