|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
1
|
|
pubmed:dateCreated |
2003-1-6
|
|
pubmed:abstractText |
Data in health research are frequently structured hierarchically. For example, data may consist of patients treated by physicians who in turn practice in hospitals. Traditional statistical techniques ignore the possible correlation of outcomes within a given practice or hospital. Furthermore, imputing characteristics measured at higher levels of the hierarchy to the patient-level artificially inflates the amount of available information on the effect of higher-level characteristics on outcomes.
|
|
pubmed:commentsCorrections |
|
|
pubmed:language |
eng
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
AIM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Jan
|
|
pubmed:issn |
1097-6744
|
|
pubmed:author |
|
|
pubmed:issnType |
Electronic
|
|
pubmed:volume |
145
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
27-35
|
|
pubmed:dateRevised |
2006-11-15
|
|
pubmed:meshHeading |
pubmed-meshheading:12514651-Adult,
pubmed-meshheading:12514651-Age Distribution,
pubmed-meshheading:12514651-Aged,
pubmed-meshheading:12514651-Aged, 80 and over,
pubmed-meshheading:12514651-Cohort Studies,
pubmed-meshheading:12514651-Female,
pubmed-meshheading:12514651-Hospitalization,
pubmed-meshheading:12514651-Humans,
pubmed-meshheading:12514651-Logistic Models,
pubmed-meshheading:12514651-Male,
pubmed-meshheading:12514651-Middle Aged,
pubmed-meshheading:12514651-Models, Statistical,
pubmed-meshheading:12514651-Multivariate Analysis,
pubmed-meshheading:12514651-Myocardial Infarction,
pubmed-meshheading:12514651-Ontario,
pubmed-meshheading:12514651-Severity of Illness Index,
pubmed-meshheading:12514651-Sex Distribution,
pubmed-meshheading:12514651-Survival Rate,
pubmed-meshheading:12514651-Treatment Outcome
|
|
pubmed:year |
2003
|
|
pubmed:articleTitle |
Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: should we be analyzing cardiovascular outcomes data differently?
|
|
pubmed:affiliation |
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada. peter.austin@;ices.on.ca
|
|
pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
|
