Linked Life Data

10255292

Source:http://linkedlifedata.com/resource/pubmed/id/10255292

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1982-6-24
pubmed:abstractText
An extreme event, such as a nuclear accident, an earthquake, a cluster of adverse reactions to a particular drug, or excessive breakdowns of some class of equipment, frequently focuses attention for the first time on an important issue. By then, however, data on the incidence and magnitudes of relevant past events may be unavailable or too costly to reconstruct. Using a simple probability model, we derive methods for drawing statistical inferences based only on the magnitude of the first event noticed and the amount of exposure before this event occurred. We assume that an event is noticed only when its magnitude exceeds some threshold, and we develop methods of inference that are valid even when this threshold is unknown. One tempting but incorrect approach is to treat the magnitude of the observed event as if it were the threshold, forgetting that smaller magnitudes might have been noticed as well. The biases that arise when this mistake is made turn out to be substantial; risks can easily be overstated by a factor of 3.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
H
pubmed:status
MEDLINE
pubmed:issn
0276-8739
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
371-85
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
1982
pubmed:articleTitle
Inferences from alarming events.
pubmed:publicationType
Journal Article