Characteristics of Biomarkers on Predictive Ability of Risk Models in Development and Validation Populations

Suman Kundu
Additional contact information
Suman Kundu: Department of Cardiovascular Medicine, Vanderbilt University Medical Center, USA

Biostatistics and Biometrics Open Access Journal, 2017, vol. 1, issue 1, 7-8

Abstract: Prediction models are increasingly important for clinical decision making. For example, the predicted risk of an outcome may guide for a treatment initiation: high risks may lead to starting treatment, whereas for low risks treatments may be withheld or delayed. For several common complex diseases including different forms of cancer, diabetes, and cardiovascular disease, a number of prediction models have been developed in various populations.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555552.pdf (application/pdf)
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555552.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:1:y:2017:i:1:p:7-8

DOI: 10.19080/BBOAJ.2017.01.555552

Access Statistics for this article

Biostatistics and Biometrics Open Access Journal is currently edited by Sophia Mathis

More articles in Biostatistics and Biometrics Open Access Journal from Juniper Publishers Inc.
Bibliographic data for series maintained by Robert Thomas ().