Predictive Screening Methods in Binary Response Models

Ian R. Dunsmore and Richard J. Boys
Additional contact information
Ian R. Dunsmore: University of Sheffield
Richard J. Boys: University of Newcastle upon Tyne

A chapter in Probability and Bayesian Statistics, 1987, pp 151-158 from Springer

Abstract: Summary Screening procedures are used in order to improve the ‘quality’ of individuals retained in some way. In this paper we present a Bayesian predictive approach to screening for binary response data. We discuss its relationship with diagnosis and classification problems. The methods are illustrated by an example of medical screening for Conn’s syndrome.

Keywords: Diagnostic Model; Predictive Probability; Predictive Density; Probabilistic Diagnosis; Predictive Approach (search for similar items in EconPapers)
Date: 1987
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-1-4613-1885-9_15

Ordering information: This item can be ordered from
http://www.springer.com/9781461318859

DOI: 10.1007/978-1-4613-1885-9_15

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().