Marginal, conditional, and pseudo likelihood ratio approaches for biomarker combination to predict a binary disease outcome-Reference-Cited by-同舟云学术

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Marginal, conditional, and pseudo likelihood ratio approaches for biomarker combination to predict a binary disease outcome

Published:2022-03-24 Issue:14 Volume:41 Page:2574-2585
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Liu Danping¹^ORCID,Han Yongli¹^ORCID,Liu Aiyi²^ORCID

Affiliation:

1. Biostatistics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland

2. Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research Eunice Kennedy Shriver National Institute of Child Health and Human Development Bethesda Maryland

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9371

Reference21 articles.

1. Linear Combinations of Multiple Diagnostic Markers

2. Effect of correlation on combining diagnostic information from two images of the same patient

3. Combining diagnostic test results to increase accuracy

4. Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve

5. Combining Multiple Markers for Classification Using ROC

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities;Statistics in Medicine;2024-01-30

2. ROC methods in biomarker development;Modern Inference Based on Health-Related Markers;2024

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