2006
DOI: 10.1002/sdr.327
|View full text |Cite
|
Sign up to set email alerts
|

Threshold setting and the cycling of a decision threshold

Abstract: When policy-makers use a test result with a cut-off score in a decision, the cut-off threshold may change over time. An example is the threshold of "reasonable suspicion" used to justify a police search. Hammond (1996) postulated that a decision threshold will oscillate over time in response to competing pressures from affected constituencies, as unavoidable cases of false positives (e.g., innocent people searched) and false negatives (e.g., guilty people overlooked) emerge from the uncertainty of using an imp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
17
0

Year Published

2007
2007
2020
2020

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 20 publications
(17 citation statements)
references
References 11 publications
0
17
0
Order By: Relevance
“…We do not mean to imply that physicians actually perceive patients’ symptoms and outcomes in precisely this manner, only that this can be a parsimonious way to model their influence on referral processes. Consistent with regret theory [46, 47] and the approach of a prior SD model of policy threshold oscillations [48], our model focuses only on the influence of errors and does not explicitly incorporate correct decisions. As originally described by Peirce [49], the net benefit associated with a decision can be defined as a function of the number and marginal utility of TP and FP outcomes.…”
Section: Methodsmentioning
confidence: 99%
“…We do not mean to imply that physicians actually perceive patients’ symptoms and outcomes in precisely this manner, only that this can be a parsimonious way to model their influence on referral processes. Consistent with regret theory [46, 47] and the approach of a prior SD model of policy threshold oscillations [48], our model focuses only on the influence of errors and does not explicitly incorporate correct decisions. As originally described by Peirce [49], the net benefit associated with a decision can be defined as a function of the number and marginal utility of TP and FP outcomes.…”
Section: Methodsmentioning
confidence: 99%
“…Green and Swets, 1966;Hammond, 1996), which can be used to decide an appropriate threshold for that safety indicator; and the system dynamics model (e.g. Forrester, 1961;Swets et al, 1991;Weaver and Richardson, 2002), a computer simulation tool that can be used to investigate a regulatory structure to allow for changes to the indicator threshold over time and across contexts.…”
Section: Discussesmentioning
confidence: 99%
“…Consequently, one would expect an adaptation of the decision threshold in order to reduce the number of false positives. This mechanism would, in other words, give rise to ''cycling of decision thresholds'' (Weaver and Richardson 2006). From an efficiency point of view, it would be better to avoid this mechanism.…”
Section: Discussionmentioning
confidence: 99%