Modeling Boolean Decision Rules Applied to Multiple-observer Decision Strategies

William Maguire

Medical Decision Making, 1996, vol. 16, issue 1, 51-57

Abstract: A model that derives multiple-observer decision strategy ROC curves for boolean decision rules applied to binary decisions of two or three observers is presented. It is assumed that covert decision variables consistent with ROC models of observer performance underlie decisions and that readers' decision criteria are in a fixed relationship. The specific param eters of individual ROC curves and the correlational structure that describes interobserver agreement have dramatic effects upon the relative benefits to be derived from different boolean strategies A common strategy employed in clinical practice, in which the overall decision is positive if any observer makes a positive decision, is most effective when the readers are of similar ability, when they adopt similar decision criteria, when interreader agreement is greater for negative than for positive cases, and when the individual ROC slope is «1.0 Different multiple-observer decision strategies can be evaluated using the model equations A bootstrap method for testing model-associated hypotheses is described. Key words: ROC analysis; diagnostic accuracy; image interpretation. (Med Decis Making 1996;16:51-57)

Date: 1996
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0272989X9601600113 (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:sae:medema:v:16:y:1996:i:1:p:51-57

DOI: 10.1177/0272989X9601600113

Access Statistics for this article

More articles in Medical Decision Making
Bibliographic data for series maintained by SAGE Publications ().