Functional Covariate-Adjusted Partial Area under the Specificity-ROC Curve with an Application to Metabolic Syndrome Diagnosis

Partially funded by Fondecyt Grants 11130541 (first author) and 11121186 (second author). Supported in part by the Spanish Ministry of Science and Innovation through project MTM2008-03010

[1]  Chin-Tsang Chiang,et al.  Nonparametric Methodology for the Time-Dependent Partial Area under the ROC Curve , 2011, 1103.1963.

[2]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[3]  Lori E. Dodd,et al.  Partial AUC Estimation and Regression , 2003, Biometrics.

[4]  H. Minuk,et al.  Metabolic syndrome. , 2005, Journal of insurance medicine.

[5]  Wenceslao González-Manteiga,et al.  Extending induced ROC methodology to the functional context. , 2012, Biostatistics.

[6]  Monica Chiogna,et al.  JACKKNIFE EMPIRICAL LIKELIHOOD BASED CONFIDENCE INTERVALS FOR PARTIAL AREAS UNDER ROC CURVES , 2012 .

[7]  Sarah Kuester,et al.  Smoothing Techniques With Implementation In S , 2016 .

[8]  Frédéric Ferraty,et al.  ON THE VALIDITY OF THE BOOTSTRAP IN NONPARAMETRIC FUNCTIONAL REGRESSION , 2008 .

[9]  Ingrid Van Keilegom,et al.  On the Validity of the Bootstrap in Non‐Parametric Functional Regression , 2009 .

[10]  David Gur,et al.  On use of partial area under the ROC curve for evaluation of diagnostic performance , 2013, Statistics in medicine.

[11]  F. Gudé,et al.  Serum levels of gamma-glutamyl transferase are associated with markers of nocturnal hypoxemia in a general adult population. , 2009, Clinica chimica acta; international journal of clinical chemistry.

[12]  Wenceslao Gonz Alez-Manteiga ROC curves in nonparametric location-scale regression models , 2008 .

[13]  Tianxi Cai,et al.  Regression Analysis for the Partial Area Under the ROC Curve , 2006 .

[14]  Hans-Georg Müller,et al.  Functional Data Analysis , 2016 .

[15]  James Stephen Marron,et al.  BOOTSTRAP SIMULTANEOUS ERROR BARS FOR NONPARAMETRIC REGRESSION , 1991 .

[16]  J. Romo,et al.  On the Concept of Depth for Functional Data , 2009 .

[17]  M. Genton,et al.  Functional Boxplots , 2011 .

[18]  Miguel de Carvalho,et al.  Bayesian nonparametric ROC regression modeling , 2013 .

[19]  C. Metz,et al.  A receiver operating characteristic partial area index for highly sensitive diagnostic tests. , 1996, Radiology.

[20]  Wenceslao González-Manteiga,et al.  ROC Curves in Non‐Parametric Location‐Scale Regression Models , 2011 .

[21]  Debashis Kushary,et al.  Bootstrap Methods and Their Application , 2000, Technometrics.

[22]  Piotr Kokoszka,et al.  Inference for Functional Data with Applications , 2012 .

[23]  Radu V. Craiu,et al.  Nonparametric covariate adjustment for receiver operating characteristic curves , 2009, 0905.0436.

[24]  R. D'Agostino,et al.  Gamma Glutamyl Transferase and Metabolic Syndrome, Cardiovascular Disease, and Mortality Risk: The Framingham Heart Study , 2007, Arteriosclerosis, thrombosis, and vascular biology.

[25]  Silvia Figini,et al.  Computational Statistics and Data Analysis Making Classifier Performance Comparisons When Roc Curves Intersect , 2022 .

[26]  Manuel Febrero-Bande,et al.  Statistical Computing in Functional Data Analysis: The R Package fda.usc , 2012 .

[27]  Z. Q. John Lu,et al.  Nonparametric Functional Data Analysis: Theory And Practice , 2007, Technometrics.

[28]  I. Keilegom,et al.  A review on ROC curves in the presence of covariates , 2014 .

[29]  P. Qiu The Statistical Evaluation of Medical Tests for Classification and Prediction , 2005 .

[30]  Zhanfeng Wang,et al.  Marker selection via maximizing the partial area under the ROC curve of linear risk scores. , 2011, Biostatistics.

[31]  Philippe Vieu,et al.  Semi-functional partial linear regression , 2006 .

[32]  Frédéric Ferraty,et al.  The Functional Nonparametric Model and Application to Spectrometric Data , 2002, Comput. Stat..