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Two-stage procedures for selecting the best diagnostic biomarkers
Considered in the paper is the problem of selecting a diagnostic biomarker that has the highest classification rate among several candidate markers with dichotomous outcomes. The probability of correct selection depends on a number of nuisance parameters from the joint distribution of the biomarkers...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227145/ https://www.ncbi.nlm.nih.gov/pubmed/18407902 http://dx.doi.org/10.1098/rsta.2008.0032 |
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author | Liu, Aiyi Wu, Chengqing Yu, Kai F. |
author_facet | Liu, Aiyi Wu, Chengqing Yu, Kai F. |
author_sort | Liu, Aiyi |
collection | PubMed |
description | Considered in the paper is the problem of selecting a diagnostic biomarker that has the highest classification rate among several candidate markers with dichotomous outcomes. The probability of correct selection depends on a number of nuisance parameters from the joint distribution of the biomarkers and thus can be substantially affected if these nuisance parameters are misspecified. A two-stage procedure is proposed to compute the needed sample size that achieves the desired level of correct selection, as so confirmed by simulation results. |
format | Online Article Text |
id | pubmed-3227145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-32271452011-11-30 Two-stage procedures for selecting the best diagnostic biomarkers Liu, Aiyi Wu, Chengqing Yu, Kai F. Philos Trans A Math Phys Eng Sci Research Article Considered in the paper is the problem of selecting a diagnostic biomarker that has the highest classification rate among several candidate markers with dichotomous outcomes. The probability of correct selection depends on a number of nuisance parameters from the joint distribution of the biomarkers and thus can be substantially affected if these nuisance parameters are misspecified. A two-stage procedure is proposed to compute the needed sample size that achieves the desired level of correct selection, as so confirmed by simulation results. The Royal Society 2008-04-11 2008-07-13 /pmc/articles/PMC3227145/ /pubmed/18407902 http://dx.doi.org/10.1098/rsta.2008.0032 Text en Copyright © 2008 The Royal Society http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Aiyi Wu, Chengqing Yu, Kai F. Two-stage procedures for selecting the best diagnostic biomarkers |
title | Two-stage procedures for selecting the best diagnostic biomarkers |
title_full | Two-stage procedures for selecting the best diagnostic biomarkers |
title_fullStr | Two-stage procedures for selecting the best diagnostic biomarkers |
title_full_unstemmed | Two-stage procedures for selecting the best diagnostic biomarkers |
title_short | Two-stage procedures for selecting the best diagnostic biomarkers |
title_sort | two-stage procedures for selecting the best diagnostic biomarkers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227145/ https://www.ncbi.nlm.nih.gov/pubmed/18407902 http://dx.doi.org/10.1098/rsta.2008.0032 |
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