Inference in receiver operating characteristic surface analysis via a trinormal model‐based testing approach-Reference-Cited by-同舟云学术

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Inference in receiver operating characteristic surface analysis via a trinormal model‐based testing approach

Published:2019-01 Issue:1 Volume:8 Page:
ISSN:2049-1573
Container-title:Stat
language:en
Short-container-title:STAT

Author:

Noll Samuel¹,Furrer Reinhard¹²^ORCID,Reiser Benjamin³^ORCID,Nakas Christos T.⁴⁵^ORCID

Affiliation:

1. Department of MathematicsUniversity of Zurich Zurich Switzerland

2. Department of Computational ScienceUniversity of Zurich Zurich Switzerland

3. Department of StatisticsUniversity of Haifa Haifa Israel

4. Department of Agriculture, Crop Production and Rural EnvironmentUniversity of Thessaly Volos 38446 Greece

5. Department of Clinical ChemistryInselspital, Bern University Hospital, University of Bern Bern Switzerland

Funder

Israel Science Foundation

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.249

Reference26 articles.

1. The area above the ordinal dominance graph and the area below the receiver operating characteristic graph

2. Construction of joint confidence regions for the optimal true class fractions of Receiver Operating Characteristic (ROC) surfaces and manifolds

3. An Analysis of Transformations

4. Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

5. Maximum likelihood estimation of parameters of signal detection theory—A direct solution

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4. trinROC: Statistical Tests for Assessing Trinormal ROC Data;CRAN: Contributed Packages;2018-09-03

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