Transformation based on likelihood ratio

Jianping Yang; Pei Fen Kuan; Jialiang Li

doi:10.1177/0962280220925509

Transformation based on likelihood ratio

Jianping Yang
, Pei Fen Kuan
, Jialiang Li

Applied Mathematics and Statistics

Stony Brook University

Zhejiang Sci-Tech University
National University of Singapore
Duke University-NUS Graduate Medical School
Singapore National Eye Center

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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

Original language	English
Pages (from-to)	354-356
Number of pages	3
Journal	Statistical Methods in Medical Research
Volume	30
Issue number	2
DOIs	https://doi.org/10.1177/0962280220925509
State	Published - Feb 2021

Keywords

Diagnostic medicine
area under ROC curve
classification accuracy
likelihood ratio transformation
receiver operating characteristic curve

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10.1177/0962280220925509

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title = "Transformation based on likelihood ratio",

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",

author = "Jianping Yang and Kuan, \{Pei Fen\} and Jialiang Li",

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year = "2021",

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volume = "30",

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AU - Yang, Jianping

AU - Kuan, Pei Fen

AU - Li, Jialiang

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PY - 2021/2

Y1 - 2021/2

N2 - We respond here on a recent letter in this journal, on the transformation based on likelihood ratio.

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

KW - Diagnostic medicine

KW - area under ROC curve

KW - classification accuracy

KW - likelihood ratio transformation

KW - receiver operating characteristic curve

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DO - 10.1177/0962280220925509

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EP - 356

JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

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Transformation based on likelihood ratio

Abstract

Keywords

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