Transformation based on likelihood ratio

Jianping Yang; Pei-Fen Kuan; Jialiang Li

doi:10.1177/0962280220925509

Transformation based on likelihood ratio

Stat Methods Med Res. 2021 Feb;30(2):354-356. doi: 10.1177/0962280220925509. Epub 2020 May 25.

Authors

Jianping Yang¹, Pei-Fen Kuan², Jialiang Li^{3

4

5}

Affiliations

¹ Department of Mathematical Sciences, School of Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China.
² Department of Applied Mathematics and Statistics, Stony Brook University, New York, USA.
³ Department of Statistics and Applied Probability, National University of Singapore, Duke University-NUS Graduate Medical School, Singapore Eye Research Institute, Singapore, Singapore.
⁴ Duke University-NUS Graduate Medical School, Singapore, Singapore.
⁵ Singapore Eye Research Institute, Singapore, Singapore.

PMID: 32450773
DOI: 10.1177/0962280220925509

Abstract

We respond here on a recent letter in this journal, on the transformation based on likelihood ratio.

Keywords: Diagnostic medicine; area under ROC curve; classification accuracy; likelihood ratio transformation; receiver operating characteristic curve.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Likelihood Functions
ROC Curve*