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Multi-category diagnostic accuracy based on logistic regression

Publication ,  Journal Article
Li, J; Fine, JP; Pencina, MJ
Published in: Statistical Theory and Related Fields
July 3, 2017

We provide a detailed review for the statistical analysis of diagnostic accuracy in a multi-category classification task. For qualitative response variables with more than two categories, many traditional accuracy measures such as sensitivity, specificity and area under the ROC curve are no longer applicable. In recent literature, new diagnostic accuracy measures are introduced in medical research studies. In this paper, important statistical concepts for multi-category classification accuracy are reviewed and their utilities are demonstrated with real medical examples. We offer problem-based R code to illustrate how to perform these statistical computations step by step. We expect such analysis tools will become more familiar to practitioners and receive broader applications in biostatistics. Our program can be adapted to many classifiers among which logistic regression may be the most popular approach. We thus base our discussion and illustration completely on the logistic regression in this paper.

Duke Scholars

Published In

Statistical Theory and Related Fields

DOI

EISSN

2475-4277

ISSN

2475-4269

Publication Date

July 3, 2017

Volume

1

Issue

2

Start / End Page

143 / 158
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Li, J., Fine, J. P., & Pencina, M. J. (2017). Multi-category diagnostic accuracy based on logistic regression. Statistical Theory and Related Fields, 1(2), 143–158. https://doi.org/10.1080/24754269.2017.1319105
Li, J., J. P. Fine, and M. J. Pencina. “Multi-category diagnostic accuracy based on logistic regression.” Statistical Theory and Related Fields 1, no. 2 (July 3, 2017): 143–58. https://doi.org/10.1080/24754269.2017.1319105.
Li J, Fine JP, Pencina MJ. Multi-category diagnostic accuracy based on logistic regression. Statistical Theory and Related Fields. 2017 Jul 3;1(2):143–58.
Li, J., et al. “Multi-category diagnostic accuracy based on logistic regression.” Statistical Theory and Related Fields, vol. 1, no. 2, July 2017, pp. 143–58. Scopus, doi:10.1080/24754269.2017.1319105.
Li J, Fine JP, Pencina MJ. Multi-category diagnostic accuracy based on logistic regression. Statistical Theory and Related Fields. 2017 Jul 3;1(2):143–158.

Published In

Statistical Theory and Related Fields

DOI

EISSN

2475-4277

ISSN

2475-4269

Publication Date

July 3, 2017

Volume

1

Issue

2

Start / End Page

143 / 158