Bayesian Nonparametric Approaches for ROC Curve Inference

Vanda Calhau Fernandes Inacio De Carvalho; A. Jara; M. de Carvalho

doi:10.1007/978-3-319-19518-6_16

Bayesian Nonparametric Approaches for ROC Curve Inference

Vanda Calhau Fernandes Inacio De Carvalho, A. Jara, M. de Carvalho

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

Abstract

The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests. We review Bayesian nonparametric methods based on Dirichlet process mixtures and the Bayesian bootstrap for ROC curve estimation and regression. The methods are illustrated by means of data concerning diagnosis of lung cancer in women.

Original language	English
Title of host publication	Nonparametric Bayesian Inference in Biostatistics
Editors	R. Mitra, P. Müller
Publisher	Springer-Verlag
Pages	327-344
Number of pages	18
ISBN (Print)	978-3-319-19517-9 978-3-319-19518-6
DOIs	https://doi.org/10.1007/978-3-319-19518-6_16
Publication status	Published - 2015

Publication series

Name	Frontiers in Probability and the Statistical Sciences
Publisher	Springer

Keywords

Biostatistics,Statistical Theory and Methods,Statistics for Life Sciences
Medicine
Health Sciences

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10.1007/978-3-319-19518-6_16

chp_10.1007_978-3-319-19518-6_16(1)Accepted author manuscript, 369 KB

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abstract = "The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests. We review Bayesian nonparametric methods based on Dirichlet process mixtures and the Bayesian bootstrap for ROC curve estimation and regression. The methods are illustrated by means of data concerning diagnosis of lung cancer in women.",

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Bayesian Nonparametric Approaches for ROC Curve Inference. / Calhau Fernandes Inacio De Carvalho, Vanda; Jara, A.; de Carvalho, M.

Nonparametric Bayesian Inference in Biostatistics. ed. / R. Mitra; P. Müller. Springer-Verlag, 2015. p. 327-344 (Frontiers in Probability and the Statistical Sciences).

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

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AU - Jara, A.

AU - de Carvalho, M.

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KW - Health Sciences

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DO - 10.1007/978-3-319-19518-6_16

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SN - 978-3-319-19517-9 978-3-319-19518-6

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Bayesian Nonparametric Approaches for ROC Curve Inference

Abstract

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Keywords

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