Multi-category diagnostic accuracy based on logistic regression-Reference-Cited by-同舟云学术

Multi-category diagnostic accuracy based on logistic regression

Published:2017-05-11 Issue:2 Volume:1 Page:143-158
ISSN:2475-4269
Container-title:Statistical Theory and Related Fields
language:en
Short-container-title:Statistical Theory and Related Fields

Author:

Li Jialiang¹^ORCID,Fine Jason P.²,Pencina Michael J.³

Affiliation:

1. Department of Statistics and Applied Probability, Duke-NUS Graduate Medical School, Singapore Eye Research Institute, National University of Singapore, Singapore

2. Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA

3. Department of Biostatistics, Duke University, Durham, NC, USA

Funder

National Medical Research Council

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/24754269.2017.1319105

Reference64 articles.

1. Comparison of ROC Umbrella Volumes with an Application to the Assessment of Lung Cancer Diagnostic Markers

2. A comparison of tests for restricted orderings in the three-class case

3. Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models

4. The Relative Composition of the Inflammatory Infiltrate as an Additional Tool for Synovial Tissue Classification

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