Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data-Reference-Cited by-同舟云学术

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Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data

Published:2016-08-09 Issue:6 Volume:58 Page:1319-1337
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Pauly Markus¹,Asendorf Thomas²,Konietschke Frank³

Affiliation:

1. Institute of Statistics; University of Ulm; Helmholtzstrasse 20 89081 Ulm Germany

2. Department of Medical Statistics; University of Goettingen; Humboldtallee 32 37073 Goettingen Germany

3. Department of Mathematical Sciences; University of Texas at Dallas; 800 W Campbell Road Richardson TX 75080 USA

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference48 articles.

1. Probabilistic index: an intuitive non-parametric approach to measuring the size of treatment effects;Acion;Statistics in Medicine,2006

2. Pseudo-score confidence intervals for parameters in discrete statistical models;Agresti;Biometrika,2010

3. Nonparametric hypotheses and rank statistics for unbalanced factorial designs;Akritas;Journal of the American Statistical Association,1997

4. A permutation test for comparing ROC curves in multireader studies 1: a multi-reader ROC permutation test;Bandos;Academic Radiology,2006

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