rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
7
|
pubmed:dateCreated |
2010-5-24
|
pubmed:abstractText |
Missing indicator method (MIM) and complete case analysis (CC) are frequently used to handle missing confounder data. Using empirical data, we demonstrated the degree and direction of bias in the effect estimate when using these methods compared with multiple imputation (MI).
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Jul
|
pubmed:issn |
1878-5921
|
pubmed:author |
|
pubmed:copyrightInfo |
Copyright 2010 Elsevier Inc. All rights reserved.
|
pubmed:issnType |
Electronic
|
pubmed:volume |
63
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
728-36
|
pubmed:meshHeading |
pubmed-meshheading:20346625-Age Factors,
pubmed-meshheading:20346625-Bias (Epidemiology),
pubmed-meshheading:20346625-Biomedical Research,
pubmed-meshheading:20346625-Cohort Studies,
pubmed-meshheading:20346625-Confounding Factors (Epidemiology),
pubmed-meshheading:20346625-Data Collection,
pubmed-meshheading:20346625-Depressive Disorder,
pubmed-meshheading:20346625-Female,
pubmed-meshheading:20346625-Humans,
pubmed-meshheading:20346625-Income,
pubmed-meshheading:20346625-Male,
pubmed-meshheading:20346625-Marital Status,
pubmed-meshheading:20346625-Middle Aged,
pubmed-meshheading:20346625-Outcome Assessment (Health Care),
pubmed-meshheading:20346625-Research Design,
pubmed-meshheading:20346625-Sex Factors
|
pubmed:year |
2010
|
pubmed:articleTitle |
Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example.
|
pubmed:affiliation |
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Str. 6.131, PO Box 85500, 3508 GA Utrecht, The Netherlands. m.j.knol@umcutrecht.nl
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|