Combining biomarkers by maximizing the true positive rate for a fixed false positive rate.

biomarker combinations false positive rate sensitivity specificity true positive rate

Journal

Biometrical journal. Biometrische Zeitschrift
ISSN: 1521-4036
Titre abrégé: Biom J
Pays: Germany
ID NLM: 7708048

Informations de publication

Date de publication:
08 2021
Historique:
revised: 12 01 2021
received: 03 07 2020
accepted: 12 01 2021
pubmed: 20 4 2021
medline: 3 11 2021
entrez: 19 4 2021
Statut: ppublish

Résumé

Biomarkers abound in many areas of clinical research, and often investigators are interested in combining them for diagnosis, prognosis, or screening. In many applications, the true positive rate (TPR) for a biomarker combination at a prespecified, clinically acceptable false positive rate (FPR) is the most relevant measure of predictive capacity. We propose a distribution-free method for constructing biomarker combinations by maximizing the TPR while constraining the FPR. Theoretical results demonstrate desirable properties of biomarker combinations produced by the new method. In simulations, the biomarker combination provided by our method demonstrated improved operating characteristics in a variety of scenarios when compared with alternative methods for constructing biomarker combinations. Thus, use of our method could lead to the development of better biomarker combinations, increasing the likelihood of clinical adoption.

Identifiants

pubmed: 33871887
doi: 10.1002/bimj.202000210
pmc: PMC9845072
mid: NIHMS1860770
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1223-1240

Subventions

Organisme : NIDDK NIH HHS
ID : F31 DK108356
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA152089
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL085757
Pays : United States

Informations de copyright

© 2021 Wiley-VCH GmbH.

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Auteurs

Allison Meisner (A)

Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Marco Carone (M)

Department of Biostatistics, University of Washington, Seattle, WA, USA.

Margaret S Pepe (MS)

Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Kathleen F Kerr (KF)

Department of Biostatistics, University of Washington, Seattle, WA, USA.

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Classifications MeSH