Linked Life Data

21225900

Source:http://linkedlifedata.com/resource/pubmed/id/21225900

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2011-1-12
pubmed:abstractText
Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1097-0258
pubmed:author
pubmed:copyrightInfo
2010 John Wiley & Sons, Ltd.
pubmed:issnType
Electronic
pubmed:day
20
pubmed:volume
30
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
377-99
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Multiple imputation using chained equations: Issues and guidance for practice.
pubmed:affiliation
MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, U.K.. ian.white@mrc-bsu.cam.ac.uk.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't