المؤلفون: Bianco, Ana M.¹ (AUTHOR) abianco@dm.uba.ar, Boente, Graciela¹ (AUTHOR), González–Manteiga, Wenceslao² (AUTHOR), Pérez–González, Ana³ (AUTHOR)

المصدر: Statistical Methods & Applications. Sep2023, Vol. 32 Issue 3, p931-956. 26p.

مصطلحات موضوعية: *REGRESSION analysis, *PROBABILITY theory, MISSING data (Statistics), QUANTILE regression, RECEIVER operating characteristic curves

مستخلص: In this paper, we present three estimators of the ROC curve when missing observations arise among the biomarkers. Two of the procedures assume that we have covariates that allow to estimate the propensity and and from this information, the estimators are obtained using an inverse probability weighting method or a smoothed version of it. The third one assumes that the covariates are related to the biomarkers through a regression model which enables us to construct convolution–based estimators of the distribution and quantile functions. Consistency results are obtained under mild conditions. Through a numerical study we evaluate the finite sample performance of the different proposals. A real data set is also analysed. [ABSTRACT FROM AUTHOR]

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المؤلفون: Bianco, Ana Maria, Boente Boente, Graciela Lina, González Manteiga, Wenceslao, Pérez González, Ana

مصطلحات موضوعية: CONSISTENCY, COVARIATES, MISSING DATA, ROC CURVES, https://purl.org/becyt/ford/1.1Test, https://purl.org/becyt/ford/1Test

الوصف: In this paper, we present three estimators of the ROC curve when missing observations arise among the biomarkers. Two of the procedures assume that we have covariates that allow to estimate the propensity and and from this information, the estimators are obtained using an inverse probability weighting method or a smoothed version of it. The third one assumes that the covariates are related to the biomarkers through a regression model which enables us to construct convolution–based estimators of the distribution and quantile functions. Consistency results are obtained under mild conditions. Through a numerical study we evaluate the finite sample performance of the different proposals. A real data set is also analysed. ; Fil: Bianco, Ana Maria. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina ; Fil: Boente Boente, Graciela Lina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina ; Fil: González Manteiga, Wenceslao. Universidad de Santiago de Compostela; España ; Fil: Pérez González, Ana. Universidad de Vigo; España

وصف الملف: application/pdf

العلاقة: http://hdl.handle.net/11336/228009Test; Bianco, Ana Maria; Boente Boente, Graciela Lina; González Manteiga, Wenceslao; Pérez González, Ana; Estimators for ROC curves with missing biomarkers values and informative covariates; Springer Heidelberg; Statistical Methods And Applications; 32; 3; 1-2023; 931-956; CONICET Digital; CONICET

الإتاحة: https://doi.org/10.1007/s10260-022-00680-zTest
http://hdl.handle.net/11336/228009Test