Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
1999-12-9
pubmed:abstractText
We studied 364 index presentations to the Emergency Department of a children's hospital with a diagnosis of asthma. The admission rate for this group of children was about 31%. We developed a parsimonious multiple logistic regression model to predict asthma hospital admission based on asthma severity indicators. We then evaluated the model's predictive ability using two methods of cross-validation, using the same sample that was used for the predictive model, and using data from a split sample. The logistic regression model had a predictive accuracy of 90% (95% confidence interval 85-95%). The sensitivity and specificity were 86% and 88%, respectively. Cross-validation models confirmed that the predictive ability of the model was stable. In studies with limited sample sizes, it is possible to validate a model without setting aside a split sample for cross-validation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0895-4356
pubmed:author
pubmed:issnType
Print
pubmed:volume
52
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1157-63
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:10580778-Acute Disease, pubmed-meshheading:10580778-Adolescent, pubmed-meshheading:10580778-Asthma, pubmed-meshheading:10580778-Australia, pubmed-meshheading:10580778-Child, pubmed-meshheading:10580778-Child, Preschool, pubmed-meshheading:10580778-Diagnostic Tests, Routine, pubmed-meshheading:10580778-Female, pubmed-meshheading:10580778-Humans, pubmed-meshheading:10580778-Logistic Models, pubmed-meshheading:10580778-Male, pubmed-meshheading:10580778-Patient Admission, pubmed-meshheading:10580778-Predictive Value of Tests, pubmed-meshheading:10580778-Questionnaires, pubmed-meshheading:10580778-ROC Curve, pubmed-meshheading:10580778-Reproducibility of Results, pubmed-meshheading:10580778-Retrospective Studies, pubmed-meshheading:10580778-Sensitivity and Specificity, pubmed-meshheading:10580778-Severity of Illness Index
pubmed:year
1999
pubmed:articleTitle
Validation of a predictive model for asthma admission in children: how accurate is it for predicting admissions?
pubmed:affiliation
Epidemiology Unit, Southwestern Sydney Area Health Service, Australia. t.chey@unsw.edu.au
pubmed:publicationType
Journal Article, Comparative Study