Accuracy Detection: Applications Where Biostatisticians Can Contribute

Jonathan J Shuster
Additional contact information
Jonathan J Shuster: Professor Emeritus, University of Florida, USA

Biostatistics and Biometrics Open Access Journal, 2018, vol. 8, issue 2, 27-29

Abstract: In this short communication, we describe a state of the art accuracy detection (polygraph) method, available at Converus.com. It is estimated to detect truthfulness (falseness) with 88% (86%) probability respectfully. While lie detection methods are not admissible in adjudicating guilt in criminal cases, this technology can be used to provide important ancillary information to those trying to fairly resolve disputes.

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: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555733.pdf (application/pdf)
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555733.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:8:y:2018:i:2:p:27-29

DOI: 10.19080/BBOAJ.2018.08.555733

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 ().